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Field
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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setting up and performing experiments at a number of international accelerator facilities Participation in in-house detector testing and characterisation About you We are seeking a candidate with: A PhD in
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: Postgraduate research experience including a Master’s degree or PhD, or about to obtain a PhD, in a relevant field (e.g. public health, social sciences). Experience of research involving vulnerable populations
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Theoretical or Computational Chemistry or related area
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, along with an aptitude for developing new experimental techniques that relate to this exciting research program. To be successful with your application, you will need to demonstrate: An awarded PhD in
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research themes? Do you want to further your career by undertaking an PhD in one of the UK’s leading research intensive Universities? The University of Leeds is one of the top 75 universities in the world
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in a social science or other relevant area Have obtained a PhD in a relevant subject. Have substantial post PhD experience Have significant experience in managing and undertaking research activities in
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to research proposals and writing bids for research grants Write peer reviewed academic publications of the highest standards of significance and impact Supervise less experienced researchers and PhD students