Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Jönköping University
- Nature Careers
- Chalmers University of Technology
- Lunds universitet
- Karlstad University
- Linköping University
- KTH Royal Institute of Technology
- Mid Sweden University
- Blekinge Institute of Technology
- Umeå universitet
- University of Borås
- Uppsala universitet
- Örebro University
- KTH
- Karolinska Institutet (KI)
- Kungliga Tekniska högskolan
- Linköpings universitet
- Linnéuniversitetet
- Lulea University of Technology
- SLU
- Swedish University of Agricultural Sciences
- The Faculty of Technology and Society
- 15 more »
- « less
-
Field
-
tomorrow through pioneering projects and research ideas? If so, you have the opportunity to start as an assistant professor (associate senior lecturer) as part of Lund University Programme for Global
-
, research on new cell concepts and cell manufacturing, battery systems and system integration, recycling, and safety. At Lund University with the Faculty of Engineering (LTH), COMPEL is a strategic initiative
-
, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
-
need to fulfil the following requirements: PhD in one of the following fields: bioinformatics, molecular biology, computer science or related subjects the employer considers of relevance to the position
-
approach for depression in young people - Training for Awareness Resilience and Action (TARA) - with standard treatment (ST). The TARA-group was shown to be superior at six months follow-up and the safety
-
established goals. You should be responsible and have a safety awareness around laboratory work. You should have good proficiency in written and spoken English. Additional qualifications for the position
-
lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as
-
life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
-
at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
-
for software development and its education. The group is multidisciplinary, including social and computer scientists. We are working with leading industrial partners, such as those within the automotive and