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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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the student with training in diverse techniques related to molecular and cellular biology, bioinformatics and protein biochemistry. A key activity in this project will be the use of targeted reverse genetics
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University of Leicester. For more details 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
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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
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, biochemistry, AlphaFold and structural characterisation by X-ray crystallography and cEM. Firstly, this will provide insights into new regulatory mechanisms relevant to several fundamental signalling pathways
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scenarios and test fundamental physics. This work will provide essential tools for extracting science from current observing runs and preparing for next-generation gravitational wave detectors. The PhD
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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