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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
Area of research: Scientific / postdoctoral posts Job description: Postdoc in "(Re)examining modelling" (d/f/m/x) (HIPP 27.3)BackgroundHIPP is the HIFMB Integrative Postdoc Pool and publishes a
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
Oceanography (m/f/d/x) Background The AWI-LMU joint research group for Southern Ocean-Climate Interactions (SO-CLIM) invites applications for the position of a Postdoc in Oceanography in the framework of the EU
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Qualifications Experience with machine learning and deep learning Ability to analyze and interpret complex geophysical data and apply appropriate research methodologies Additional Information: The College of Arts
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(postdoc) Reference no.: 5955 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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network inference and modeling, machine learning and deep learning. Experience in working with Arabidopsis and plant genome data is a strong plus. The position is expected to continue for multiple years
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VwGr. B1 lit. b (postdoc) Limited until: 11.07.2030 Reference no.: 5864 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support
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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record