245 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "University of Rijeka" Postdoctoral positions in Denmark
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Systems Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities
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see our webpage at https://kea.au.dk/ . You will report to the Head of Department, Professor Henrik Toft Sørensen. Your competences You have academic qualifications at PhD/DSc level, and/or can document
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
. Possible tasks will be: · Assist in expanding our software simulating breeding programs in different species. · Create simulation tools (e.g. R-package) for estimating economic values. · Simulation
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interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
levels. The research at DTU encompasses basic as well as applied research in a diversity of area. For recent highlights from the Department se https://www.kemi.dtu.dk/english/-/media/institutter/kemi/omos
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis