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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
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, or landscape modelling Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and preferably experience in developing
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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October or as soon as possible thereafter. Jobdescription This postdoc position offers a unique opportunity to bridge environmental modelling, behavioral insight, and policy innovation to understand and
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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pharmacological questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models
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Applications are invited for a 1-year post-doc position on modeling of two-phase flows for green hydrogen application at the Department of Mechanical and Production Engineering, Aarhus University
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable