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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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collaboration with modelling or industrial partners Candidate Requirements We welcome applications from candidates with the following background: Academic degree (BSc / MSc or equivalent) in Materials Science
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of mostly water and molecules such as proteins, lipids and sugars that decay every day, so we eat and sleep to restore daily our cell biology. Synapses and changes in cell shape are made and unmade every day
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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of mostly water and molecules such as proteins, lipids and sugars that decay every day, so we eat and sleep to restore daily our cell biology. Synapses and changes in cell shape are made and unmade every day
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please visit: https://warwick.ac.uk/fac/cross_fac/mibtp/ or https://www.birmingham.ac.uk/about/college-of-life-and-environmental-sciences/midlands-integrative-biosciences-training-partnership How to apply
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been enhanced through predictive structural biology tools such as AlphaFold, which allow accurate prediction of effector structures from primary sequence. We recently identified a number of immune
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generate embodied emissions. Post-retrofit emissions depend on energy system transitions (e.g., grid decarbonisation, and socio-economic factors including population growth and housing evolution (Mastrucci
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autophagy and the innate immunity response. Using cutting-edge omics (transcriptomics/proteomics), advanced imaging (confocal) and cellular biology approaches (macrophages, autophagy biomarkers), this project
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven