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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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, digital health outcomes and wearable technology advanced analytics. This post will involve collecting wearable technology data, implementing novel machine learning advanced analytics for processing and
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applicable, desirable criteria listed in the Candidate Information on our website. This post is available for 18 months. Fixed term contract posts are available for the stated period in the first instance but
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clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. What we offer: Beyond a competitive salary, the
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clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. Fixed term contract posts are available for the stated period
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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of Paediatrics at the University of Oxford. The goal of our research is to understand the information that shapes the complex physical architecture of the heart wall, and how it can be disrupted to produce
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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of information theory to syntax and language processing. Thus, the role will involve syntax, diachronic linguistics, psycholinguistics and, to some extent, computational linguistics. Under the guidance of project