25 postdoc-in-automation-and-control positions at University of Copenhagen in Denmark
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We are looking for a highly motivated and dynamic postdoc for a 2+1 years position with starting date Oct. 1st, 2025. The successful candidate will work on problems related to gravitational wave
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We are seeking a 3-year postdoc to work primarily on the project ‘Feedback loops in policy and decision-making uncertainty for climate adaptation’ financed by the Independent Research Fund Denmark
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of postdocs and PhD students Coordinate a part of the larger project together with the PIs Co-supervise one of more PhD students within the larger project, together with the two PIs Write scientific
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This Post Doc position at the Department of Plant and Environmental Sciences (PLEN), University of Copenhagen, is a 2-year research fellowship within the Algae Biochemistry group led by Assoc. Professor Johan Andersen-Ranberg. The fellow’s main duties will include conducting experimental...
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Postdoc in Organic Chemistry Department of Chemistry Faculty of Science University of Copenhagen The Department of Chemistry, Faculty of Science at University of Copenhagen invites applications
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design the integration and incorporation of various control systems into the existing data-driven workflow. Develop high-quality code in Python to automate characterization and benchmarking. Support
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methods Participate in a larger team of postdocs and PhD students Coordinate a part of the larger project together with the PIs Co-supervise one of more PhD students within the larger project, together
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We are looking for a highly motivated postdoc to join the Cvejic Lab with the commence date of July 15th, 2025 or soon thereafter. Information on the department can be found at: BRIC – University
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, in English, must be submitted electronically by clicking APPLY NOW below. Please include Motivation letter describing your motivation for applying for the specific postdoc fellowship (max. 1 page
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the impact of two highly controlled, short-term lifestyle interventions. Through these interventions, the project seeks to achieve deep phenotyping related to insulin resistance, advancing our understanding