84 professor-computer "https:" "https:" "https:" "https:" "https:" "U.S" "St" research jobs at Aarhus University in Denmark
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feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify
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technical, physical and biological pre-clinical studies. The research staff connected to DCPT currently include five full-time professors in medical physics, two clinical professors (MDs), one full-time
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at Aarhus University in Denmark and collaborates with industry and authorities to identify new solutions to reduce atmospheric CO₂ levels. Research group The electrochemical section, led by Professor Kim
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science or similar. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It is undertaking a restructuring
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appointment in the lab. You will report to the Professor Marina Romero-Ramos Your competences We are seeking a highly motivated and independent postdoctoral researcher with a background/PhD in computational
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such as multi-level models, target trail emulation, mediation analysis and g-computation Supervision of bachelors’ and masters’ students You will report to Professor Christina C. Dahm. Your competences You
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and written English and be able to present a good track-record of scientific work. The project will involve experimental and computational work, and the candidate is expected to be comfortable with
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater