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that blend traditional disciplines with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our
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astronomy/astrophysics. Recruit & supervise PhD students and potential postdocs. Teach effectively at both undergraduate and graduate levels in Physics & Astronomy. Contribute to departmental service and
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 31 Dec 2025 - 23:59 (Europe/Andorra) Type of Contract Temporary Job Status Full-time Hours Per Week
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 31 Jan 2026 - 23:59 (Europe/Andorra) Type of Contract Temporary Job Status Full-time Hours Per Week
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postdoc will: ● Start by familiarizing with existing research and methods for genome interpretation, such as the AI4GI lab previous publications (https://academic.oup.com/nar/article/50/3/e16/6430850?login
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-348StreetŁojasiewicza 11Geofield Contact City Kraków Website http://www.fais.uj.edu.pl Street ul. Łojasiewicza 11 Postal Code 30-348 E-Mail malgorzata.dobosz-petryk@uj.edu.pl STATUS: EXPIRED X (formerly Twitter) Facebook
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11 Dec 2025 Job Information Organisation/Company University of Bergen Department Department of Contemporary Art Research Field Arts Researcher Profile Recognised Researcher (R2) Positions Postdoc
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com
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research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data