Sort by
Refine Your Search
-
Category
-
Employer
- Umeå University
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Uppsala universitet
- University of Lund
- Lunds universitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Jönköping University
- Luleå tekniska universitet
- Mälardalen University
- The Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Göteborgs universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Institutionen för Biologi och miljövetenskap
- Institutionen för mark och miljö
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Stockholm University
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 17 more »
- « less
-
Field
-
technological development. As a PhD student in this project, you will operate and evaluate different laboratory-scale biogas processes with the aim of optimising both biogas production and biofertiliser quality
-
PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
, with a focus on the design and development of advanced sorbent materials for environmental and gas-cleaning applications. The research subject “Engineering Materials” has ongoing research programs span
-
the development of AI-powered smart care solutions. The position is at the Department of Computer Science, Electrical and Space Engineering, Division of Computer Science, at Luleå University of Technology (LTU
-
: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
-
Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
-
out together with seven industrial partners and is externally funded by the Knowledge Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods
-
Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
-
multidisciplinary forest research environment and work with academic, public- and private-sector partners. Methods will include field experiments and forest inventories, measurements of stand development and tree
-
precision medicine by improving prognostication and treatment selection for cancer patients through the development of novel prognostic and treatment-predictive biomarkers, as well as by elucidating tumor
-
. The doctoral student will complete relevant doctoral courses and is expected to develop increasing independence in research planning, implementation and scientific writing. Requirements To meet the general entry