Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- Mälardalen University
- Linnaeus University
- Nature Careers
- Blekinge Institute of Technology
- University of Lund
- Uppsala University
- 3 more »
- « less
-
Field
-
teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject
-
transport and reduced transport intensity in agro-food and bioenergy supply chains. Focusing on selected case studies, transport related to primary production and distribution of finished products is
-
, and power cables. All research is conducted in collaboration with other universities, research institutes, and industry. The group currently consists of 1 Professor, 1 Senior Scientist, 5 Postdocs, and
-
in solid theoretical foundations and verified through extensive experimental studies, both in labs and in real-world environments. We are a team of 60 members, including 20 senior researchers, working
-
of the doctoral student Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program. Cancer cells, however, carry genetic alterations
-
For questions, please contact: Prof. Nikolce Murgovski, Systems and Control nikolce.murgovski@chalmers.se, +46-31-772-4800 Senior Researcher, Mats Jonasson, Vehicle Engineering and Autonomous Systems
-
division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
-
deadline: August 18, 2025 Requirements To qualify for admission to the PhD programme, you must have: A Master’s degree (or equivalent), Completed at least 240 ECTS credits, including at least 60 ECTS credits
-
well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which
-
suitable for examination. The Ph.D. program consists of 4-year full-time studies with the position contracted based on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be