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DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260914T102339
CREATED:20260422T174133Z
LAST-MODIFIED:20260422T174133Z
UID:10002199-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Mendelian Randomisation Training Course
DESCRIPTION:Join us for a three-day\, in-person course on Mendelian randomisation at University College London from 15th-17th September 2026. \nRunning for the third year\, this course introduces some of the theory and most widely used tools for MR\, and how to apply these methods to real research questions. The course will cover one-sample and two-sample approaches\, sensitivity analyses including pleiotropy-robust methods\, multivariable MR for mediation and interaction analyses\, within-family MR\, MR-PheWAS and drug target MR. Each method will be explained with accompanying practicals to give participants hands-on experience designing\, running\, interpreting\, and reporting MR studies. \nLocation: Wolfson Centre\, Bloomsbury.\nTutors: Dr Emma Anderson\, Dr Dylan Williams & Professor Neil Davies\, University College London\nGuest lecturer: Dr Eleanor Sanderson\, University of Bristol \nFeedback from previous years: \n“The entire course was excellent. Lots of helpful information\, engaging content\, very helpful and detailed practicals.”\n“The course leaders were all super helpful\, very kind and very knowledgeable – it was a great atmosphere.”\n“I was new to MR so it was very good experience to learn the basic concepts and appreciate the complexities as well.”\n“I thought the course was really engaging and interactive. It was nice that the group was relatively small. Teachers were motivated and very helpful.” \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/mendelian-randomisation-training-course/
CATEGORIES:Training
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LOCATION:https://www.dementiaresearcher.nihr.ac.uk/event/mendelian-randomisation-training-course/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260914T102339
CREATED:20260701T215326Z
LAST-MODIFIED:20260817T150021Z
UID:10002304-1789430400-1789689599@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Introduction to Deep Learning - Online
DESCRIPTION:This is a hands-on introduction to the first steps in Deep Learning\, intended for researchers who are familiar with (non-deep) Machine Learning.  This introduction aims to cover the basics of Deep Learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. \nThe course covers:  \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nLearning Outcomes: \nIntroduction  \n\nDefine deep learning\nDescribe how a neural network is build up\nExplain the operations performed by a single neuron\nDescribe what a loss function is\nRecall the sort of problems for which deep learning is a useful tool\nList some of the available tools for deep learning\nRecall the steps of a deep learning workflow\nTest that you have correctly installed the Keras\, Seaborn and scikit-learn libraries\nUse the deep learning workflow to structure the notebook\n\nClassification by a neural network using Keras \n\nExplore the dataset using pandas and seaborn\nIdentify the inputs and outputs of a deep neural network.\nUse one-hot encoding to prepare data for classification in Keras\nDescribe a fully connected layer\nImplement a fully connected layer with Keras\nUse Keras to train a small fully connected network on prepared data\nInterpret the loss curve of the training process\nUse a confusion matrix to measure the trained networks’ performance on a test set\n\nMonitor the training process \n\nExplain the importance of keeping your test set clean\, by validating on the validation set instead of the test set\nUse the data splits to plot the training process\nExplain how optimization works\nDesign a neural network for a regression task\nMeasure the performance of your deep neural network\nInterpret the training plots to recognize overfitting\nUse normalization as preparation step for deep learning\nImplement basic strategies to prevent overfitting\n\nAdvanced layer types \n\nUnderstand why convolutional and pooling layers are useful for image data\nImplement a convolutional neural network on an image dataset\nUse a dropout layer to prevent overfitting\nBe able to tune the hyperparameters of a Keras model\n\nTransfer learning \n\nAdapt a state-of-the-art pre-trained network to your own dataset\n\nOutlook \n\nUnderstand that what we learned in this course can be applied to real-world problems\nUse best practices for organising a deep learning project\nIdentify next steps to take after this course\n\nPre-requisites: \nLearners are expected to have the following knowledge: \n\nBasic Python programming skills and familiarity with the Pandas package.\nBasic knowledge on machine learning\, including the following concepts: Data cleaning\, train & test split\, type of problems (regression\, classification)\, overfitting & underfitting\, metrics (accuracy\, recall\, etc.).\n\nSetup Instructions \nPlease follow the setup instructions here: https://carpentries-lab.github.io/deep-learning-intro/index.html#software-setup \nNote that software installation can take some time.  Please set up your python environment at least a day in advance of the workshop. If you encounter problems with the installation procedure\, ask your workshop organizers via email for assistance so you are ready to go as soon as the workshop begins. \nProgramme \n\nWhat is deep learning?\nClassification by a neural network using Keras\nMonitor the training progress\nAdvanced layer types\nReal world application\n\nThis course is taking place on 15-17 September from 09:00 – 17:00. \n\nCost: \nThe fee is: \n• £60 per day for students registered at university\n• £150 per day for staff at academic institutions\, Research Councils researchers\, public sector staff and staff at registered charity organisations and recognised research institutions\n• £350 per day for all other participants. \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of its cancellation of a course\, including but not limited to any travel or accommodation costs. \nThe University of Southampton’s Online Store T&Cs also continue to apply. \nWebsite and registration: \nRegister for this course
URL:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-deep-learning-online/
CATEGORIES:Training
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LOCATION:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-deep-learning-online/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260930T140000
DTEND;TZID=Europe/London:20260930T170000
DTSTAMP:20260914T102340
CREATED:20260826T074950Z
LAST-MODIFIED:20260826T074950Z
UID:10002363-1790776800-1790787600@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Communicating Science and Shaping Research: The role of PPIE
DESCRIPTION:Hosted by the British Neuroscience Association\, with support from Alzheimer’s Research UK\, this online event will explore the importance of Patient and Public Involvement and Engagement (PPIE) in shaping research\, improving communication\, and building partnerships that lead to more impactful science. Whether you’re a researcher\, healthcare professional\, student or public contributor\, join us to discover how collaborative approaches can strengthen research from concept to impact. \n\nUnderstand the principles and value of Patient and Public Involvement and Engagement (PPIE)\, including its role in improving the quality\, relevance and impact of neuroscience research.\nIdentify practical approaches to embedding PPIE throughout the research process\, drawing on real-world examples from both laboratory-based and clinical neuroscience research.\nDevelop the confidence to plan meaningful PPIE activities by recognising best practice\, understanding common challenges\, and identifying resources and opportunities to support future involvement.\n\n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/communicating-science-and-shaping-research-the-role-of-ppie/
LOCATION:Online
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261209
DTEND;VALUE=DATE:20261210
DTSTAMP:20260914T102340
CREATED:20260723T101931Z
LAST-MODIFIED:20260723T101931Z
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SUMMARY:Qualitative Methods for Understanding Diverse Lives
DESCRIPTION:In this one-day online training workshop you will be introduced to four qualitative research methods to better understand diverse lives – Photo Go-Alongs\, Collage\, Life History Interviews and Participant Packs. When researching social groups\, researchers may focus on categories such as age\, gender\, sexuality and so on. These categories can turn catch-all terms into catch-all agendas. \nTreating groups of people with one shared characteristic as homogenous risks a cookie-cutter approach which overlooks diverse lives and needs. Given the complexity of what it means to be a person\, a one-size fits all approach to engagement cannot suffice. The methods introduced in this training workshop are beneficial in exploring diverse lives and can be used when researching with any group. \nThe session is aimed at PhD students and academics of all career stages across the UK who want to better understand: \n\nThe specific place-based needs of people\nThe everyday practices of people\nThe world from participants’ perspectives\nHow to work with people in an inclusive and accessible way\n\nThis online training workshop will be structured as follows:   \n\nIntroductions\nOrigins and Approach\nMethods deep dive:\n\nPhoto Go-Alongs\nParticipant packs\nCollage\nLife Histories\nWorkshops\n\n\nLearnings and close\n\nBy the end of the course participants will: \n\nBe able to think critically about how creative\, participatory methods might be incorporated into their research and/ or teaching.\nHave broadened their understanding of research methods from tools of data collection to techniques for capacity building.\nHave workshopped four qualitative methods for creatively engaging with people (Photo Go-Alongs\, Collage\, Life Histories and Participant packs).\n\nThis online training workshop will take place over the course of 1 day on Wednesday 11th March 2026 between 10:00 and 16:00\, with 1 hour for lunch between 12:30 and 13:30. \nCost: \nThe fee per teaching day is: £60 per day for registered students. £150 per day for staff at academic institutions\, Research Councils researchers\, public sector staff\, staff at registered charity organisations and recognised research institutions. £350 per day for all other participants. \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of the cancellation of a course. \n\nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/qualitative-methods-for-understanding-diverse-lives-2/
LOCATION:Online
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261209
DTEND;VALUE=DATE:20261210
DTSTAMP:20260914T102340
CREATED:20260906T190715Z
LAST-MODIFIED:20260906T190715Z
UID:10002377-1796774400-1796860799@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Four Qualitative Methods for Understanding Diverse Lives - Online
DESCRIPTION:In this one-day online training workshop you will be introduced to four qualitative research methods to better understand diverse lives – Photo Go-Alongs\, Collage\, Life History Interviews and Participant Packs. When researching social groups\, researchers may focus on categories such as age\, gender\, sexuality and so on. These categories can turn catch-all terms into catch-all agendas. Treating groups of people with one shared characteristic as homogenous risks a cookie-cutter approach which overlooks diverse lives and needs. Given the complexity of what it means to be a person\, a one-size fits all approach to engagement cannot suffice. The methods introduced in this training workshop are beneficial in exploring diverse lives and can be used when researching with any group. \nThe session is aimed at PhD students and academics of all career stages across the UK who want to better understand: \n\nThe specific place-based needs of people\nThe everyday practices of people\nThe world from participants’ perspectives\nHow to work with people in an inclusive and accessible way\n\nThis online training workshop will be structured as follows: \n\nIntroductions\nOrigins and Approach\nMethods deep dive:\n* Photo Go-Alongs \n* Participant packs \n* Collage \n* Life Histories\nWorkshops\nLearnings and close\n\nBy the end of the course participants will: \n\nBe able to think critically about how creative\, participatory methods might be incorporated into their research and/ or teaching.\nHave broadened their understanding of research methods from tools of data collection to techniques for capacity building.\nHave workshopped four qualitative methods for creatively engaging with people (Photo Go-Alongs\, Collage\, Life Histories and Participant packs).\n\nThis online course will take place on Wednesday 9 December from 10:00 – 16:00\, with 1 hour for lunch from 12:30 – 13:30. \n\nCost: \nThe fee per teaching day is: \n• £60 for any registered University students\n• £150 for staff at academic institutions\, Research Councils researchers\, public sector staff\, staff at registered charity organisations and recognised research institutions.\n• £350 for all other participants \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of the cancellation of a course. \nThe University of Southampton’s Online Store T&Cs also continue to apply. \nWebsite and registration: \nRegister for this course
URL:https://www.dementiaresearcher.nihr.ac.uk/event/four-qualitative-methods-for-understanding-diverse-lives-online/
LOCATION:Online
CATEGORIES:Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270222
DTEND;VALUE=DATE:20270227
DTSTAMP:20260914T102340
CREATED:20260827T141712Z
LAST-MODIFIED:20260828T085609Z
UID:10002365-1803254400-1803686399@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Mouse models for human disease workshop
DESCRIPTION:The Mouse models for human disease workshop addresses one of the key challenges in modern biomedical research: ensuring genetically altered (GA) mouse models are used appropriately\, rigorously\, and reproducibly. \nDesigned for researchers with a basic understanding of mouse genetics\, it provides practical guidance on experimental design\, model selection\, breeding strategies\, and troubleshooting to help maximise the scientific value of GA mouse studies. \nMaking the Most of Genetically Altered Mouse Models\nGenetically altered mouse models are powerful tools for investigating gene function and disease mechanisms\, but their successful use requires careful planning and a clear understanding of the factors that can influence experimental outcomes. This workshop explores the critical variables to consider when designing studies\, including the selection of appropriate experimental and control groups\, the importance of genetic background\, and how strain choice can affect the interpretation and reproducibility of results. \nParticipants will gain an overview of the methods used to generate genetically altered mouse lines and learn which aspects of model generation are most important to understand when planning experiments or developing breeding strategies. The workshop also covers the essential quality control checks that should be completed before a new line is introduced into a research programme. \nA significant focus of the workshop is conditional mouse models and the technologies that underpin them\, including the Cre-Lox system and alternative recombinase platforms such as Flp\, Dre\, and Vika. These sophisticated systems allow researchers to manipulate gene expression in specific tissues or at defined time points\, enabling biological questions to be addressed that cannot be investigated using conventional constitutive knockout models. However\, their complexity also introduces opportunities for error and misinterpretation. Drawing on real-world examples\, we will examine common pitfalls associated with conditional models\, discuss how they arise\, and identify practical strategies to minimise their impact on experimental outcomes. \nThe workshop also provides guidance on sourcing and importing mouse models from repositories and collaborators. Participants will learn how to identify suitable strains\, assess available quality control information\, and avoid common issues that can arise when introducing new lines into an existing colony. \nAs genetic research becomes increasingly sophisticated\, the use of multiple alleles and complex breeding schemes is becoming routine. We will discuss how to design efficient breeding programmes\, generate appropriate controls\, minimise animal use where possible\, and ensure that important breeding-related variables are not overlooked. Particular attention will be given to factors that can affect reproducibility long before animals enter an experimental cohort. \nIn addition\, the workshop addresses common challenges encountered when managing genetically altered colonies\, including troubleshooting breeding problems and determining the next steps when a model does not behave as anticipated. Participants are encouraged to bring examples from their own research\, creating opportunities for discussion and collaborative problem-solving. \nLearning Outcomes\nBy the end of the workshop\, participants will be able to: \n\nIdentify the critical variables that influence experiments using genetically altered mice.\nSelect appropriate strains\, experimental groups\, and controls.\nUnderstand how genetically altered mouse lines are generated and validated.\nRecognise the strengths and limitations of conditional genetic systems.\nAssess the quality and suitability of mouse models obtained from repositories.\nDesign effective breeding strategies for complex genetic models.\nIdentify factors that influence reproducibility and experimental interpretation.\nTroubleshoot common colony management and experimental challenges.\n\nWho Should Attend?\nThis workshop is intended for researchers\, PhD students\, technical staff\, and colony managers who are using – or planning to use – genetically altered mouse models and who already have a foundational understanding of mouse genetics. It will be particularly valuable for those seeking to improve the robustness\, reproducibility\, and efficiency of their in vivo research programmes. \nPricing\nThere is a range of pricing options available to suit your needs: \n\n£2\,325 includes four nights’ accommodation (Monday to Thursday)\, transport to the Advance Training Centre\, lunch and refreshments throughout the week and a workshop evening meal\n£2\,420 includes five nights’ accommodation (Sunday to Thursday)\, transport to the Advance Training Centre\, lunch and refreshments throughout the week and a workshop evening meal\n£1\,355 lunch and refreshments throughout the week and a workshop evening meal (no accommodation or transport)\n\nCorporate sponsorship\nCorporate Sponsorship of the Mouse Models for Human Disease Workshop is available. For further details\, please email training@har.mrc.ac.uk. \n\nClick Here
URL:https://www.dementiaresearcher.nihr.ac.uk/event/mouse-models-for-human-disease-workshop/
LOCATION:ADVANCE training centre MRC Harwell\, Mary Lyon Centre at MRC Harwell\, Harwell\, OX11 0RD\, United Kingdom
CATEGORIES:Training
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