39 machine-learning-"https:" "https:" "https:" "https:" "https:" Postdoctoral scholarships in United States
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University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 14 hours ago
/61927781301 Application and more information: https://www.jobbnorge.no/en/available-jobs/job/303593/phd-fellowships-in-knowledge-driven-machine-learning-in-norway-8-positions Keywords: Bayesian
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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project will develop general self-supervised and unsupervised machine-learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to build methods
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intersection of robotics, control engineering, machine learning, and neuro-inspired computing, while collaborating closely with academic partners and researchers across disciplines in Denmark as well
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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scientific writing skills supported by peer-reviewed publications. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to
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will have demonstrated excellence in using modern empirical methods—including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal
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& Retrieval Lab , one of the research labs within the Machine Learning Section at DIKU. The Machine Learning Section is an internationally recognised research environment with a strong track record of
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection