31 assistant-professor-computer-science-and-data Postdoctoral positions at Nature Careers
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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For further information, don't hesitate to get in touch with Assistant Professor Espen Drath Bøjesen Phone: +4520478910 E-mail: espen.bojesen@inano.au.dk Website: www.disordergroup.org Place of work and area of
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at the Department of Electrical and Computer Engineering, as well as Ethiopian researchers specializing in Geophysics and Nature-based solutions. The candidate must be willing to participate in field work in Ethiopia
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work is Gustav Wieds Vej 10D, 8000 Aarhus C, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Associate Professor
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The Department of Civil and Architectural Engineering, Aarhus University, invites applications for a 2-year Research Assistant position offering applicants an exciting opportunity to contribute
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supervision of students at the BSc and MSc levels through active involvement in teaching in the veterinary science curriculum. Contact Further information on the position may be obtained from Professor Martin
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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, laboratory automation (robotics), molecular biology, analytical chemistry, data science, and food science. The REFINES project is funded by the Innovation Foundation’s Grand Solutions program and is a
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative