Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- Karolinska Institutet (KI)
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- University of Lund
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Umeå universitet stipendiemodul
- Lulea University of Technology
- Mälardalen University
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Karlstad University
- Karlstads universitet
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences
- Umeå universitet
- University of Borås
- universitypositions
- Örebro University
- 15 more »
- « less
-
Field
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. To our institution, which conducts research at the highest international level and offers several high-quality
-
. The postdoctoral researcher(s) will join an international research environment at Umeå University, including Stat4Reg (www.stat4reg.se ), which develops statistical and machine-learning methods for register data
-
activities within the group, leading collaborative tasks in national and international research projects, publishing results in leading journals and conferences, and supervising MSc students and co-supervising
-
conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our
-
an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a postdoctoral position at Uppsala
-
trade unions or similar circumstances. Since the project will require interactions with international collaboration partners, very good communication skills, both oral and written, in English, are a must
-
. The project is closely linked to other ongoing and recently finalised research projects within the subject area, and there are excellent possibilities for international collaboration within the position. You
-
machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
-
international collaborators. The group's interests cover a wide range of areas including extremal and probabilistic combinatorics, combinatorial optimization, graph theory, game theory, algorithmics and geometry
-
the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the