15 high-performance-computing-postdoc Postdoctoral positions at Nature Careers in Denmark
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the following three postdoc positions: Position 1.Postdoc in Carbon Capture System Design, Operation, and Test We are looking for a postdoctoral researcher to lead the design, commissioning, and operation of a
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Clinical Pharmacology, Pharmacy, and Environmental Medicine at the Department of Public Health, Faculty of Health, University of Southern Denmark, is offering a 2-year postdoc position within
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within the 2DPHYS and CAMD sections at DTU Physics as well as at DTU Compute and DTU Nanolab. Required qualifications Significant experience with theoretical and computational nanophotonics High level of
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the existing cohort. The present position will perform methods development for multi-omics analysis and apply it to data from the existing cohort. The scientific purpose is to identify drivers of multitissue
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s
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are implementing these methods in high-performance open-source libraries to make them scalable and available to researchers and engineers for a wide range of applications. What we offer Aarhus University offers
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Clinical Pharmacology, Pharmacy, and Environmental Medicine at the Department of Public Health , Faculty of Health Sciences, SDU, is offering a 2-year postdoc position within pharmacoepidemiology
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. Unfortunately, diazotrophs show variable performance in the field and there is a need for research to understand the underlying causes of this. The postdoc will develop and apply analysis of samples from wheat
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining