91 computer-programmer-"U.S"-"Embry-Riddle-Aeronautical-University"-"U"-"U.S" positions at UNIVERSITY OF SOUTHAMPTON
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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assisting with year-end activities Helping to improve financial procedures and ensure consistency across programmes and contracts Analysing data to support financial decision-making and reporting requirements
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are we looking for? You’ll be a confident and strategic leader with a passion for research that improves lives. With experience managing complex projects or programmes ideally in health, social care
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our 138m Boldrewood Towing Tank and Iridis research computing facility . You will receive mentoring and technical guidance from the project’s academic leads, Dr. Tahsin Tezdogan and Dr. Nicholas
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prioritise work to meet deadlines and quality standards. Specific knowledge of additive manufacturing, mechanical characterisation, full-field experimental mechanics, volumetric imaging (e.g. X-ray computed
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(or be close to completing one) with strong quantitative and computational skills in high-performance computing environments. Your expertise should be in one or more of the following areas: hydrological
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rehabilitation programmes for cochlear and bone conduction implant recipients Assessing patient progress and adjusting therapy strategies accordingly Providing education and support to patients, families, and
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by managing the implementation of the faculty marketing plan and ensuring the strategic alignment of data and insight with the positioning and proposition of our offering. You will collaborate with a
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group focused on conducting innovative research to address the health...
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results