Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- Umeå University
- Lulea University of Technology
- Jönköping University
- Linnaeus University
- Mälardalen University
- Blekinge Institute of Technology
- Karlstad University
- 3 more »
- « less
-
Field
-
. The Department of Computer Science and Informatics provides academic programmes in subjects ranging from software engineering and embedded systems to user experience design and cybersecurity, and is also
-
(+16 hrs) conditions. You will work closely to two other researchers: one with tissue culture expertise and one with practical plant breeding expertise. The work duties include: Plan, design, execute and
-
or PEEM, where relevant. Detailed description of the work tasks: Responsible for designing, planning, and performing experiments, with participation of colleagues/collaborators Responsible for designing
-
specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development with the following combined research areas linked with National, European and
-
into discrete aggregates, the formation of reaction intermediates and the exchange of subunits. Practical experience in isotope and fluorophore labeling of proteins. Experience and ability to design and execute
-
level are required. The candidate is expected to be able and willing to take initiative and to work both independently and in a team. Experience of designing, performing and reporting applied
-
. A principal focus of our research is the development of technology components for 6G wireless networks. Specific topics include the design and optimization of distributed and massive MIMO for high
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
-based prediction and design of new, low-dimensional magnetoelectric materials. Low-dimensional materials are highly desirable for efficient device integration, and the intrinsic coupling between electric
-
the research problem of operationalising human rights in the design of AI-based systems for health and social care. To do so, the project examines existing methods for assessing risks to fundamental rights