44 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in Precision Agriculture and Soil Health, starting 01-01-2026 or as soon as possible thereafter
-
academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
-
Center for Music in the Brain, Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Neuroscience as per 1 October
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
-
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position for studying the influence of phytochemistry and wheat cultivar mixtures on plant-microbiome
-
scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, or related disciplines. We
-
a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
-
contributes to developing the academic field in question. Your qualifications To qualify for the positions, you must have been awarded the degree of PhD or have acquired equivalent qualifications. Who we
-
. The postdoctoral researchers will be working on specific project tasks set out by the project director. The positions are for 1 year with the possibility of prolongation for another 2 years. Both positions will
-
You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the