33 associate-professor-computer Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
professor in radiobiology, and eleven associate/assistant professors in medical physics or oncology (most of the latter in part-time positions, in combination with a position in the clinic). We currently have
-
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
-
We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates
-
at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
-
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
-
-biologists. The team consists of a dynamic mix of experimental and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What
-
research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work The place of work is C.F. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C. The area of employment is Aarhus
-
Dilemmas in Combatting Group Inequalities” funded by the Independent Research Fund Denmark. The project is headed by Associate Professor Viki Lyngby Hvid whom the postdoc will be working closely together
-
For further information, please contact: Professor, Kasper Røjkjær Andersen, kra@mbg.au.dk. Application procedure Shortlisting is used. This means that after the deadline for applications – and with
-
computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately