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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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) Country United Kingdom Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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47 Faculty of Psychology Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4052 Explore and teach
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays