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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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section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc-human-centered-computing
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, distributed systems. Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines Experience in language modeling research and LLMOps, including but not limited to LLM
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
the Ecology group https://www.sdu.dk/en/forskning/ecology . The successful applicant is expected to have a research background in basic and/or applied research related to systems ecology, with a focus on
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also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme
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more about the CAPeX research themes and X-trails, our organization, and the other open PhD and postdoc cohort positions at http://www.capex-p2x.com . We look forward to receiving your application and to
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within 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
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Job Description We are searching for a talented and motivated PostDoc to develop the theory of quantum light sources for applications in optical quantum computers. The project takes place in
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also