883 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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and innovative researcher with a strong foundation in wearable systems and are currently in the final stages of completing a PhD in Robotics or Control Systems Engineering. Your academic journey is
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of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team
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The job information is shown below. Please click on the links to see full details. The School of Social Sciences is looking to appoint a Research Fellow on a fixed term contract basis. The key
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College of Engineering, Design and Physical Sciences Location: Brunel University of London, Uxbridge Campus Placement: Fixed term (12 months), Full–time, up to £40,757 per annum Brunel University
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
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to teaching activities and provide support to PhD students and research assistants in the programme. You may be a great fit if: You are a skilled statistician with a PhD in statistics, applied mathematics, or a