Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Chalmers University of Technology
- Umeå University
- Linköping University
- Nature Careers
- Lulea University of Technology
- Blekinge Institute of Technology
- Swedish University of Agricultural Sciences
- KTH
- Karlstad University
- Mälardalen University
- NORDITA-Nordic Institute for Theoretical Physics
- 3 more »
- « less
-
Field
-
)? The study of the potential and limits of efficient computation is about foundational, mathematical, research, but research results in computational complexity theory have had major impact in other areas
-
publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics
-
of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
-
Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses
-
mathematical foundations in theoretical computer science. Good verbal and written communication skills in English. Swedish is not required for this position. Chalmers offers free language courses for those
-
of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed
-
. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
-
qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN
-
We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
-
(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong