17 computer-science-intern-"https:"-"https:"-"https:" research jobs at University of Leeds
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, please contact: Prof Viktoria Spaiser, Associate Professor in Sustainability Research and Computational Social Science, PI Email: v.spaiser@leeds.ac.uk
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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Senior Research Fellow (Grade 8) or Associate Professor (Grade 9) in Evidence Synthesis and Decision Modelling Faculty of Medicine and Health, School of Medicine, Leeds Institute of Health Sciences
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Are you a post-doctoral researcher with a PhD in public health engineering and at least five years professional experience working in sanitation? Are you interested in improving the cost-efficiency
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associated compound hazards. You will be working as part of an interdisciplinary international consortium with a wide range of research and impact partners, spanning a wide range between engineering, health
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. The first is a large project on the central Congo peatlands, led by UNEP (United National Environment Programme). As part of this project you will lead the production of new maps of the central Congo
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Institute of Health Sciences and Bradford Institute for Health Research. The ASR is a long-established applied health research centre with an international reputation for research related to older people and
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Selby in the School of Politics and International Studies at Leeds. The overall objectives of this project are to contribute to global climate change research and practice by exploring 1) the distinctive
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researcher? Do you want to be trained in cutting-edge experimental and computational techniques to understand how clot contraction influences thrombus stability and embolism risk? Are you excited to be part of
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obtaining) a relevant PhD and have expertise in a relevant area of atmospheric science (or a related physical science). You will be able to demonstrate commitment to publication of original results