Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- Nature Careers
- Sveriges lantbruksuniversitet
- University of Lund
- Linnaeus University
- Umeå universitet
- Lulea University of Technology
- Jönköping University
- Karlstads universitet
- Mälardalen University
- University of Gothenburg
- 10 more »
- « less
-
Field
-
, interdisciplinary research center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS
-
, computer science, neuroscience, computational social science, or a related area). Strong programming skills (e.g., R, Python, Matlab, or C++). Proficiency in statistics/data analysis and experience with
-
Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
-
new method for lncRNA gene identification from whole genome sequences. Collaborating with experimental researchers to integrate computational findings/tools with functional investigation. Scientific
-
collaboration with Philipp Birken and Mengwu Guo from the Scientific Computing group at Lund University. Other collaborators within the project include Yves Prairie (UQAM), Jan Karlsson and Paolo Bientinesi (Umeå
-
biology, 3D-imaging or a similar scientific field. A thorough theoretical and practical training in molecular and cell biology is a prerequisite, with knowledge within the fields of photoreceptor and/or
-
within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and
-
Although information on fish stock structure and population trends are critical for conducting analytical assessments for sustainable fisheries management and scientific advice, our current understanding
-
temporal scales. Using existing computational models to simulate atmospheric chemistry and transport, to enable the scientific linkage between independent datasets. Qualification requirements Appointment
-
Umeå University, Faculty Office of Medicine Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science