Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
-
Materials, Culture and Heritage (MCH) is the Research Programme within the Department of Archaeology and Heritage Studies, at the Moesgård Campus. We are recruiting a Student Assistant
-
Aarhus University, Denmark - an international top-100 university - has made an ambitious recruitment plan to expand the Department of Electrical and Computer Engineering. Therefore, the department
-
. The research team you will work with is leading an international program that brings together scientists from high-profile institutions across the globe to tackle one of agriculture’s most pressing challenges
-
play a central role in elevating the visibility, influence, and global reach of a groundbreaking international research consortium. This world-class program brings together scientists from leading
-
verification of compiler optimizations in Rocq The position is for 15 hours per week. Starting on September 1, 2025 - or soon thereafter . The place of work is: Computer Science, Aarhus University - Åbogade 34
-
, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
-
development will entail research and development within topics such as system identification and model updating. Your profile Applicants should hold an M.Sc. degree related to the field of computational solid
-
Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
tools and our teaching methods. We expect you to bring in to use your existing tools and methods where this benefits the program and we expect you to adopt the corner stones of our needs-driven innovation
-
Policy Implications and Recommendations Case Studies of Successful Innovation Funding Methods The project will employ a combination of methods, including machine learning (ML) and generative AI (GenAI