112 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" PhD positions at Nature Careers
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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The Department of Chemical and Biochemical Engineering (DTU Chemical Engineering) invites applications for a position as Tenure Track Researcher in Microalgae-Bacteria consortia. We are seeking a
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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formal qualification you must hold a PhD degree (or equivalent) within the field of chemistry / analytical chemistry as well as academic qualifications equivalent to those obtained by holding a position as
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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field in Electronic, Electrical and Computer Engineering The candidate should have at least 1 work published in prestigious journals and/or conferences, particularly Q1 journals and top-tier conference
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social dynamics, as well as the interactions between the two. To this end, we are looking for colleagues from a wide range of disciplines, including the natural sciences as well as the social sciences. We
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural