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interconnected across scales that today's modelling tools cannot capture. UTOPYS (Understanding Large and Complex Power Systems) addresses this with a state-of-the-art real-time power system simulator: a large
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time (350+ million years of evolution), working closely with Brusatte and PhD students and external co-PI Lawrence Witmer (Ohio University) who have been gathering data on tetrapod subgroups (extinct
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Investigator, Professor Glenn Roe, with day-to-day technical supervision from a Senior Research Software Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have
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ethical, transparent, and reproducible research Methodological fit Applicants should bring deep expertise in at least one of the following. No candidate is expected to cover the full list: Large-scale data
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of somatic hypermutation, when the enzyme activation-induced deaminase (AID) generates DNA
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bridging the gap between single neurons and networks”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several
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skills and strong publication records to apply. Some skills in analyzing/evaluating large data sets are highly desirable. Knowledge of an advanced programming language such as MATLAB, Python, etc. is