131 computational-physics "https:" "https:" "https:" "https:" "U.S" positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
developing the teaching program at the department. The candidate must hold a PhD in physics or equivalent and document the ability to teach physics at all levels of the University curriculum. The successful
-
funding calls in Plant2Food, through which the programme funds the best ideas from the matchmaking process. In your daily work, you will take the administrative lead to run Plant2Food successfully. You will
-
We are seeking applicants for a 2 year-postdoctoral position to join us in the Optomechanics group at the Department of Physics and Astronomy in order to work with nanoguitar optomechanical
-
The Department of Chemistry at Aarhus University invites applications for a non-tenure track Assistant Professor position in physical chemistry, with a focus on vibrational spectroscopy and its
-
develop and support projects at the intersection of soft matter physics and food science. The Postdoc position is part of the Food technology group at the Department of Food Science and may also include
-
Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
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
-
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
-
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