Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Linköping University
- Uppsala universitet
- KTH Royal Institute of Technology
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Lulea University of Technology
- SciLifeLab
- Umeå universitet
- Örebro University
- Luleå tekniska universitet
- Mälardalen University
- Nature Careers
- IFM, Linköping University
- Luleå University of Technology
- SLU
- Sveriges Lantbruksuniversitet
- Umeå University
- University of Lund
- Högskolan Väst
- IFM/Linköping University
- Institutionen för växtskyddsbiologi
- Jönköping University
- Karlstad University
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 24 more »
- « less
-
Field
-
pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114
-
application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
-
between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
-
- for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations, results and breakthroughs. We
-
Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
-
experimental planning, data analysis, and coordination with consortium partners. You will contribute to scientific dissemination and support the long-term development of MIND as a national competence hub for
-
future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations
-
lifecycle management. At the same time, the project delves into software design concerns, focusing on the internal structure and evolution of AI-enabled components themselves, including the design of
-
. The objective is to advance the method from a research concept to large-scale implementation in urban environments, supporting proactive and data-driven bridge management. The work includes system development and
-
available in the research group of Prof. Dr. Jan Streuff. The planned project deals with the development of new titanium(III)-catalyzed reactions, more information can be given during the interview