Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Jönköping University
- Nature Careers
- Linnaeus University
- Mälardalen University
- University of Lund
- Blekinge Institute of Technology
- Mid Sweden University
- Uppsala University
- 4 more »
- « less
-
Field
-
Statistics is opening a PhD position in mathematics focusing on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and
-
analyse empirical data Write research articles and other publications Present research at conferences and to relevant stakeholders Collaborate with researchers, industry professionals, and other PhD
-
curricula for the Board of the faculty of science and technology Information Employment as a PhD student is limited to 4 years, with an extension of a maximum of one year for teaching and other departmental
-
Further information Employment as a PhD student is limited to 4 years, with an extension of a maximum of one year for teaching and other department duties. Placement: Luleå. Starting: Autumn 2025
-
technology Further information Employment as a PhD student is limited to 4 years, with an extension of a maximum of one year for teaching and other departmental duties. Placement: Luleå. Starting: Autumn 2025
-
Further information Employment as a PhD student is limited to 4 years, with an extension of a maximum of one year for teaching and other departmental duties. Placement: Luleå. Starting: Autumn 2025
-
data for the mentioned large-scale studies. Requirements To meet the entry requirements for doctoral studies, you must – hold a Master’s (second-cycle) degree in an area relevant to the PHD topic (see
-
computational and data science capabilities in Swedish life sciences. DDLS is establishing a research school for 260 PhDs in academia and industry. The aim is to educate highly skilled and competent professionals
-
are looking for a highly motivated, independent, and analytical person, with: A degree or the equivalent in scientific data analysis, data science and machine learning, computer science, bioinformatics
-
data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art