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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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at Zürich) and builds on a substantial body of work already performed by this team. It represents a unique and exciting opportunity to undertake simulations that feed into and from extensive biochemical data
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We are inviting applications for a postdoctoral Scientist to work on the transmission dynamics of SARS-CoV-2 using a very large dataset of more than 120,000 viral genomes generated as part of
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Applications are invited for a Postdoctoral Research Assistant position in supernova cosmology and time-domain astrophysics, working with data from Rubin Observatory, 4MOST, Euclid, and low-redshift
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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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
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other postdocs, research assistants and PhD and project students. The research group aims to apply the latest advances in molecular biology, immunology and neuroscience to better understand the mechanisms
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research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group at Oxford and