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, bioinformatics, and liver disease. Based at the James Black Center, Denmark Hill campus, our team works on understanding and modeling metabolic and inflammatory processes that drive liver disease progression. We
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on computational modelling of the electrode/protein bioiterface. We are seeking highly motivated postdoctoral candidates willing to fully commit to an exciting, cutting-edge project. The skills we are looking
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the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
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. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
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including: Techniques to model domestic cooling demand. Proficient use of IES VE to model and simulate building energy systems. Use of machine learning techniques to forecast cooling demand. Proven ability
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data from preclinical models with analyses of human samples to identify pathways that may contribute to maladaptive inflammation. They will be responsible for designing and implementing experimental
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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 synthesis for causality Generalisability
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modeling metabolic and inflammatory processes that drive liver disease progression. We are dedicated to advancing scientific knowledge and translating our research into real-world medical solutions, offering
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injury, repair, and clinical outcomes. The postholder will work at the interface of immunology and cardiovascular biology, integrating data from preclinical models with analyses of human samples
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injury, repair, and clinical outcomes. The postholder will work at the interface of immunology and cardiovascular biology, integrating data from preclinical models with analyses of human samples