480 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"U.S"-"FEMTO-ST"-"St" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Nature Careers
- University of Southern Denmark
- University of Copenhagen
- Aalborg University
- Copenhagen Business School , CBS
- Technical University Of Denmark
- Aalborg Universitet
- Copenhagen Business School
- Graduate School of Arts, Aarhus University
- Aarhus University;
- Roskilde University
- ;
- ; University of Cambridge
- Danmarks Tekniske Universitet
- Queen's University Belfast
- Technical University of Denmark;
- 8 more »
- « less
-
Field
-
University’s campus in Herning, where we have launched Denmark’s first online degree programme in electrical energy technology. Place of work The place of work is at Finlandsgade 22, 8200 Aarhus N, Denmark
-
Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
-
. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~35 full and associate professors
-
Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be
-
published/in manuscript form respectively). A research plan for the next three years and plans for external funding, including for instance interdisciplinary collaboration and didactic innovation. A teaching
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a researcher focused on thermal
-
are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
-
passionate for research and for pushing the scientific frontiers. Excellent programming skills. Good collaboration skills. Fluent in English, spoken as well as written. As a formal qualification, you must hold
-
-translation and AI-driven data analyses. We value on-campus collaboration: plan for at least three days per week at the department; short research stays elsewhere can be agreed when useful for the project. Your
-
days are alike, and we welcome creative thinking and new ideas. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working