74 machine-learning "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers in Denmark
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application deadline: 21 January 2026 at 23:59 hours local Danish time Please see the full call
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highly desired. Strong communication skills, the ability to collaborate effectively within the team, and proactive working style are essential. The candidate should be motivated, open to learning new