370 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" research jobs in Denmark
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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data storage in Iceland. Drawing on science and technology studies and, specifically, infrastructure studies (Edwards et al 2009; Star 1999), the project aims to follow moments of instability and re
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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undergraduate and all graduate finance courses at the campuses of the University of Southern Denmark. The Finance Group is located in Odense; see website for more information. The successful applicant will be
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underlying greenhouse gas fluxes Support training of young researchers in using biogeochemical observations and data analysis Write and contribute to international peer-reviewed publications Contribute
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Determine T cell phenotype and transcriptomic characteristics Integrate T cell data with other adaptive immune parameters. Making high quality peptide-MHC reagents to explore T cell recognition How can we
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grant from the European Research Council. The primary challenge in powering AI chips and future data center systems is enhancing the efficiency of voltage regulator modules (VRMs) to meet their
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven
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chemistry parameters, sediment and soil nutrients (especially carbon and phosphorus), and measurements of greenhouse gas dynamics. Experience in handling and analyzing large and continuous data sets covering