Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Linköping University
- Swedish University of Agricultural Sciences
- Lunds universitet
- SciLifeLab
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Lulea University of Technology
- The Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet stipendiemodul
- universitypositions
- 4 more »
- « less
-
Field
-
setting where ideas grow into real impact. At the division of Computing Science , we advance secure and trustworthy software and systems, spanning foundations, programming languages, tools and practical
-
and cellular mechanisms by which inflammation affects the nervous system, including pathways involved in pain, neuronal dysfunction, and structural brain changes. The position is situated within a
-
battery degradation is governed by complex and coupled physical processes and is strongly affected by operating and environmental conditions. However, the internal health of batteries remains difficult
-
HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
-
approaches, methods and digital solutions to describe strengths, difficulties, participation and the impact of environmental factors at individual, organisational and societal levels. The work is carried out
-
will strengthen your application: Experience in developing technology foresight models Experience in policy analysis Experience in publishing in high impact journals is preferred What you will do Develop
-
involved in the project. Publish research findings in high-impact scientific journals and present results at national and international conferences. The main purpose of the post-doctoral position is to
-
of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact
-
imaging, with potentially high impact in life, environmental and materials sciences, and high-throughput analysis. As a postdoctoral fellow in this project, you will have the opportunity to: Gain in‑depth
-
into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from