Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of experience with research on fish diseases, and a large international network of collaborators. The section is the National reference laboratory on fish, crustacean and mollusc diseases, and EU reference
-
implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
-
Kasper Heintz’ group to work on observational projects on star and galaxy formation in the early Universe with cutting-edge data from JWST and ALMA. Applicants with interests and potential experience
-
Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
to mutual agreement). The position is a part-time position for 10 hours/ per week. You can read more about career paths at DTU here . Further information Further information may be obtained from Grete E
-
research experience and must not have a doctoral degree. Your work tasks The energy transition poses fundamental challenges for our power grids: large conventional power plants with synchronous generators
-
., cloning) and/or genome engineering Experience with mammalian cell culture (cell lines; experience with primary immune cells is an advantage) Experience with Programming/data analysis skills Interest NGS
-
29 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Electronic Systems, AI and Sound, Aalborg Research Field
-
candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
-
of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
-
. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation