27 phd-in-computational-mechanics-"Multiple"-"Prof" Fellowship positions at Nature Careers in United Kingdom
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes in RA
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post has arisen to work for 2 years (in the first instance) on a Programme grant joint between UCL, Insititute of Child Health and University of Newcastle entitled INSTINCT-MBINSTINCT MB. The work in the
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science into benefits for human health and the economy. About the role… The Genetic Mechanisms of Disease lab is a dynamic, supportive and highly collaborative research group which studies how common
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in
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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied
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, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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or spatial transcriptomic data analysis Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforce
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and