Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- University of Copenhagen
- Aalborg University
- Copenhagen Business School
- Technical University of Denmark (DTU)
- Aarhus University (AU)
- Aalborg Universitet
- Technical University Of Denmark
- University of Southern Denmark (SDU)
- Geological Survey of Denmark and Greenland (GEUS)
- Roskilde University
- Aarhus University;
- Technical University of Denmark
- University of Southern Denmark
- ;
- Graduate School of Arts, Aarhus University
- RegionH
- TEGNOLOGY APS
- Technical University of Denmark;
- 9 more »
- « less
-
Field
-
research, programming software, modelling, data science, etc. Programming skills (Python, Java, Git, etc.) Ability and interest in teamwork and interdisciplinary cooperation. Domain knowledge of biological
-
. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
-
research experience and competences within operations research, programming software, modelling, data science, etc. • Programming skills (Python, Java, Git, etc.) • Ability and interest in teamwork and
-
Python development and contemporary deep learning frameworks such as PyTorch, as well as practical experience with OpenCV or comparable tools for computer vision. You have a good command of classical
-
test of your English skills here: https://healthsciences.ku.dk/phd/admission-requirements/language/ • An interest in self-development and working in a multidisciplinary research group and project
-
about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/. As an equal opportunity employer, the University of Copenhagen invites applications from all qualified candidates
-
scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to communicate effectively in English (both
-
competencies Applicants must hold an MSc degree in statistics, genetic epidemiology, bioinformatics, clinical data science, medicine, or a related field. Programming skills (e.g., R, Python, or similar) and
-
to the specific requirements listed in this advertisement. Please read more here: https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/kriterier-for-meritering-maj-2026
-
Python and/or R • Experience with automation and workflow technologies • Interest on environmental genomics and microbial ecology Qualification requirements Appointment as Researcher requires