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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Experience Strong background in machine learning, deep learning, or related AI techniques. Proficiency in Python and at least one major deep learning framework (e.g., PyTorch, TensorFlow). Evidence of research
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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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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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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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 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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(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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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
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interpretability and enable causal and counterfactual (“what-if”) analyses. Your work will sit at the intersection of deep learning, genetic epidemiology, and public health, with opportunities to lead methodological