Sort by
Refine Your Search
-
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
-
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
-
of neurovascular and neurocognitive changes after radiotherapy of childhood brain tumours, as per May 1, 2026 or as soon as possible thereafter (after agreement). The working place for the postdoc will be the Danish
-
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
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
Are you interested in working at the interface of science, policy, and practice to support sustainable agricultural transitions? Join us at Aarhus University’s Department of Agroecology as a
-
at the interface of microbiology and electromicrobiology. Experience in one or more of the following areas is desirable: Microbial electrochemistry (e.g., MFC, cyclic voltammetry) Anaerobic cultivation and handling
-
computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
-
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
-
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