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to assess and interpret data from experiments, with the ability to identify trends, troubleshoot issues, and optimize processes. Experience in critical evaluation and troubleshooting of both process
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channels to showcase success stories and opportunities. Team and administrative support: As part of the External Relations Team, contribute to shared tasks such as onboarding new staff, cost modelling, data
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mitigation, construction, and bio-based systems. Familiarity with integrating structured and open data practices in LCA workflows will be considered a plus. Additionally, you have a proven track record of
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information about the position may be obtained by contacting Peter Bollen (peter.bollen@sund.ku.dk) or Clara Prats (cprats@sund.ku.dk). Application Deadline - Submit your application with CV, references, and
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include psychiatric disorders as well as clinical and social outcomes, but specific tasks may depend on applicants. The positions will generally involve various data analyses using Danish register data and
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on Department of Sustainability and Planning here. You may obtain further professional information from Associate Professor Ivar Lyhne, +45 5142 2310, lyhne@plan.aau.dk How to apply Your application
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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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online application no later than 15 March 2026. Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about
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Electrophysiological characterization of muscle fiber excitability (in collaboration with the research group) In vivo studies using animal models of neuromuscular disease Integration of molecular and transcriptomic data