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Oxford University Weighting of £1,500 per year (pro rata). Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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analysis, adhering to open science practices and data protection regulations. Understanding of Randomised Controlled Trial (RCT) design, particularly for non-pharmacological interventions. Expertise in
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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale
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We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
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for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology Programme. Working with Dr Kevin Gallacher and Professors Marc Sorel and Douglas Paul, the focus
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to studying all aspects of economics. Information about the Department of Economics can be found on the website at http://econ.univie.ac.at. The position is limited to a duration of 3 years. Your future tasks