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using hybrid models combining mechanistic, GenAI, and machine learning approaches. You’ll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets
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successful you will have a PhD* (or equivalent professional qualifications and experience) in engineering, mechanical engineering, materials science or a closely related discipline. Experience in the synthesis
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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support the process of shared learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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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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, solid phase synthesis, and molecular design . We are looking for someone with experience / wish to learn some of the following: complex chemical systems, reaction diffusion, analytical chemistry, chemical
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. The successful candidate will have a PhD degree or equivalent EU qualification and experience. Knowledge and laboratory experience on tumour and/or normal B cell biology, and/or antibody generation/manipulation
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working will be considered. Contract type: Permanent Salary: Full time starting salary is normally in the range of £37,337 to £44,906 per annum, with potential progression up to £51,298 per annum; If PhD is
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Applications are invited for a CRUK Research Fellow position to join the Cancer B-cell Group. The successful candidate will have a PhD degree or equivalent EU qualification and experience. Knowledge