202 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral positions in Denmark
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to comment on their assessment. Online interviews with selected candidates are expected during week 2 - January 5-9, 2026. For information about the recruitment process, visit: https://employment.ku.dk/faculty
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the following areas, biomedicine, immunology, neurology, medicine, biology, or other, related fields. Experiences in microfluidics or single-cell analysis are a plus, but not a prerequisite to learn our methods
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and to maintain and attract talented and committed staff, where freedom, creativity and respect for the long-term perspective are core values. For more information on the Department see: http
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targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in
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and postdoc cohort positions at http://www.capex-p2x.com . The research area will be within design and modeling of pulsed power supplies utilizing power electronics technology for plasma generation
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national and international collaborations and access to world-class infrastructure. Lab website: https://www.sahu-lab.com/index.html Department of Molecular Medicine (IMM) The Department of Molecular
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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Application deadline December 1, 2025, at 23:59 CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3144
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(written and spoken). Conduct independent research. Have high self-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have a strong sense of
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation