300 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" positions in Denmark
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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Applicants are invited for a PhD Fellowship/Scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227010 Is the Job related to staff position within a Research Infrastructure
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researcher will have teaching responsibilities in the newly established BA program in psychology. Your qualifications A PhD in psychology or a related field. Knowledge of community psychological research with
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. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
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for tomography reconstruction and analysis. To perform these tasks, we expect you to have: A strong background in X-ray tomography (synchrotron or lab-based) or other 3D imaging techniques. Solid programming
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of their background (link ) - and MEGAFiT, which aims to design, test, and evaluate a research-based teaching program in fitness and strength training for students in grades 7–9 (link ) - and Idrætsskoleprojektet
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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of the Classical Archaeology programme: https://bachelor.au.dk/klasark/ . A keen interest in teaching Greek and Roman antiquity in collaboration with colleagues in philology. The ability to co-teach courses with and
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characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Further Technologies: Experience in protein 3D structure prediction