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, communications masts, wind turbines) to integrate into the showcase software. The researcher will characterise structures (for existing and new data) as ‘irreducible element’ models, thus enabling the PBSHM
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analysis with whole genome sequencing data, including evaluation of genetic risk scores, statistical modelling, genome-wide association studies and genome-wide meta analyses. Existing experience in working
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T cell recognition across a range of disease models, including cancer. We are looking for an individual with substantial experience in advanced computational data analysis and programming, with
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information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in neuroscience, psychology, psychiatry, biomedical
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Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability, transportability and
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semiconductor materials. The position is available for a fixed term until 30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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programme of our growing team, on the post-transcriptional processes that control the assembly of cortical circuits in the mammalian brain. The post will involve working with transgenic mouse models
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workflows to predict MoSS formation. The successful candidate will be involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career
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, including Analysis, Disordered Systems, Statistics, and Mathematical Data Science, and its members are well connected to leading international institutions. The group’s research covers a broad spectrum of