Sort by
Refine Your Search
-
Listed
-
Employer
- Swedish University of Agricultural Sciences
- Karolinska Institutet
- Umeå University
- Chalmers University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- Linköping University
- Umeå universitet
- Stockholm University
- University of Lund
- Uppsala universitet
- Lunds universitet
- University of Gothenburg
- Luleå University of Technology
- Mälardalen University
- Uppsala University
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Lulea University of Technology
- Mälardalens universitet
- 10 more »
- « less
-
Field
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics
-
The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics or mathematical statistics, focusing on geometric deep learning. The position covers four years
-
statistics, with a wide range of topics in probability and statistics to choose from. The application deadline is April 23. For more details, see the advertisement: Requirements Additional Information Work
-
3 Apr 2024 Job Information Organisation/Company University of Gothenburg Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country Sweden Application
-
prominent place in Scandinavian mathematics. The department consists of three divisions: mathematics, computational mathematics and mathematical statistics. Researchers at the division of mathematical
-
18 May 2024 Job Information Organisation/Company Umeå universitet Department Umeå school of Business, Economics and Statistics at Umeå University Research Field Economics » Business economics
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Business Administration at Umeå School of Business, Economics and Statistics is looking for a
-
PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
-
statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can
-
The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be