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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and
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materials intended to convey knowledge, such as textbooks, computer programs for teaching, or popular science articles two references, at least one of which is a current or former supervisor Attach all
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vision is to play a key role in development for sustainable life, based on science and education. This associate senior lecturer position will be located at the Department of Crop Production Ecology, which
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The current
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-ray energy range, 2.4 - 40 keV. The beamline is in user operation since 2019 and serves users from a magnitude of fields within material science, catalysis, chemistry, physics, biology, geology and
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)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
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Deadline 21 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13522
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, political, and cultural processes. IAS hosts the international master's programme in Computational Social Science and has strong connections with the international master's programme in Statistics and Machine
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to aerodynamicist at GKN. Your major responsibilities are to pursue your own doctoral studies. You are expected to solve open-ended engineering problems, develop own scientific concepts, and communicate the results
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one or more of the following areas: Single-cell and spatial transcriptomic methods Scientific programming in Python and/or R Machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow