436 data "https:" "https:" "https:" "https:" "University of Ostrava" Postdoctoral positions in United Kingdom
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. These languages notably power WhatsApp's servers, Uber's software infrastructure, and the NHS information backbone. Two key advantages of message-passing concurrency are that it is higher-level and avoids data-race
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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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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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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
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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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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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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information