321 data-"https:"-"https:"-"https:"-"https:"-"NYU-Shanghai" Postdoctoral positions in United Kingdom
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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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
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controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied to sensor data, diagnostics, or control optimisation
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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and interpretation of ancient genetic data from human skeletal material in order to explore genetic diversity within Britannia, alongside genetic kinship and relatedness within cemetery populations
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commencing 13th April To avoid disappointment please apply early, should we find a suitable candidate we will close the advert. For more information about out benefits and working for the University please
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essential attributes include advanced skills in optical and electronic instrument development, strong background in optical spectroscopy and materials/device characterisation. Experience in data acquisition
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) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday onFriday 03 April 2026 can be considered. You will be required
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Contact information for at least 2 referees (can be added in the CV) Please apply via our job portal / Apply now button If you have any questions, please contact: Frank Melzner frank.melzner@univie.ac.at We