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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
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responsibility for the provision of research support for a large project whose focus is the downstream signalling effects of T-cell surface proteins, principally using imaging-based methods. Ideally the post
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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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analyses, and quality control. You will be responsible for helping to manage the unique, highly dimensional data (spatial-temporal, images, biomedical datasets, etc.) generated from the SchistoTrack Cohort