60 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at Aarhus University
Sort by
Refine Your Search
-
within Mathematics. The positions have 1st September 2026 as earliest possible start dates. There are postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc
-
members in Oxford such as Tissue Biology Lead Dr Matthias Friedrich, Computational/Bioinformatics Lead Dr Calliope Dendrou, Data Management Lead Prof Brian Marsden, Data Sharing/Visualisation Lead Dr
-
unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
-
/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University
-
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
-
the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
-
. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center
-
The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
-
for Applied Marine Ecology and Modelling (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/applied-marine-ecology-and-modelling ). The department is, and wishes to continue to
-
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise