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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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talented scientists with the ambition to grow. For more information about LIACS, see http://www.cs.leiden.edu . What you bring A MSc degree in Computer science, Artificial Intelligence, or a related field
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ISCTE – University Institute of Lisbon Opening of an international
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about brain research, with a background in
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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 21 Jan 2026 - 23:59 (Europe/Lisbon
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 6 days ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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2027 - 01:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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» Computational chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Feb 2026 - 18:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to