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metabolomics, and advanced statistical and computational analyses of large biological datasets. You will also support the maintenance of laboratory equipment and sample banks, ensuring full compliance with
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research assistants, PhD students, and project students). About the department The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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working with large or complex datasets, ensuring accuracy, reproducibility and secure data management. They will be able to work both independently and collaboratively as part of an interdisciplinary team
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libraries (e.g. NumPy, pandas). Experience with biodiversity-related indicators (e.g. species richness, abundance-based indicators, habitat metrics). Experience working with large environmental datasets, data
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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ocean or climate model data. They will have an understanding of ocean and climate dynamics and a demonstrated ability to design and conduct numerical analysis of large data sets to test hypotheses
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safety, longer lifetime and higher energy and power density, but key issues still limit large-scale adoption. Advanced X-ray characterization is critical to revealing degradation pathways in realistic cell
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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. It is situated in the Big Data Institute on the University’s Old Road Campus, giving it ready access to major medical research institutes such as the Clinical Trials Service Unit, the Oxford Centre