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Field
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(PDRA) with experience of statistical analysis and/or modelling, computer programming and preferably some meteorology/climate background, to join our growing team. You will work directly on the NERC
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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United Kingdom Application Deadline 16 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Horizon
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus
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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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biological methods are developed and applied to identify and characterize biologically active natural products. The lab consists of a motivated and international team connected to national and international
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and