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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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). You will have experience of managing and working with clinical research or patient data e.g. data entry, data coding, entry validation and reporting, with critical and intelligent attention to detail
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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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exciting recent technological advances, having its impact on fields as diverse as medical imaging, conversational agents, astronomy, and many more. The Oxford Applied and Theoretical Machine Learning (OATML
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projects that use animals as part of their original research into the function and dysfunction of brain circuits. The MRC Unit Programmes and projects employ innovative electrophysiological, imaging
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analysis (content analysis of text, visual analysis of images), and survey design/analysis. It is expected the successful candidate will work up a total of 111 hours which will be variable and mutually
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predominately within the Ludwig Institute following MSD IT management tools and code of practice. To be successful in this role, you will be educated to a degree level or equivalent in an IT-related subject with
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vivo using rodent models. You will have strong expertise in confocal microscopy and data analysis using R coding and ImageJ. We also expect experience in using ELISA for protein binding studies
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to the University’s Academic integrity in research: Code of practice and procedure Contract: Full Time (Part Time will be considered at a minimum of 0.8 FTE), Fixed Term Contract (3 years) About Us The University of