Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- SciLifeLab
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Mälardalen University
- Jönköping University
- Linnaeus University
- Lulea University of Technology
- ;
- Karlstad University
- NORDITA-Nordic Institute for Theoretical Physics
- Uppsala University
- 5 more »
- « less
-
Field
-
. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
-
leave or military service.* You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. * The date shown in your doctoral degree certificate is
-
application! We are seeking up to two advanced-level students in computer science, computer engineering or closely related area as research project assistants (programming, system administration). The position
-
or military service. What you will do Your major responsibility as postdoc is to perform your own research in a research group. The position may also include supervising master's and/or PhD students
-
made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: Priority will be given to candidates with a relevant
-
leave or military service. What you will do As a postdoctoral researcher, your main responsibility will be to focus on your research project. This includes planning and conducting experiments, as
-
and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research
-
and biology of infection with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine
-
and biology of infection with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine
-
environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control