211 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in Denmark
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the scientific communication of research results. For non-Scandinavian candidates, an effort to learn to read, write and speak Danish is a requirement. What we offer A well-developed research infrastructure
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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Mathematics. The positions have 1st September 2026 as earliest possible start dates. There are postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying
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these experiences teach them lessons about their own fit in politically powerful positions. The two positions advertised in this call focus primarily on the second work package. The YOPOW research project runs
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, childcare, schools, and a welcoming international community. Learn more about living and working in Odense here: https://investinodense.com/career-in-odense/ https://investinodense.com/why-city-of-odense
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in
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provides excellent opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics