Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Chalmers University of Technology
- Linköping University
- Uppsala universitet
- Stockholms universitet
- Lunds universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- University of Lund
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Umeå universitet
- University of Gothenburg
- Linköpings universitet
- Stockholm University
- Chalmers Tekniska Högskola
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Malmö universitet
- Mälardalens universitet
- School of Business, Society and Engineering
- 19 more »
- « less
-
Field
-
to greater adoption and positive societal impact. In safety-critical domains such as healthcare or autonomous driving, as well as in security-critical systems including AI-native networks or financial services
-
and other team members in all aspects of the project. Be interested in internalization (e.g. by helping to build up an international research network and spending some time abroad at a relevant
-
wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
-
study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. We are recruiting a PhD student that, together with senior
-
aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
-
The Organic Photonics and Electronics Group at Umeå University, Sweden (www.opeg-umu.com ). The selected PhD student will be an active member of the European Marie Sklodowska-Curie Training Network
-
staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union
-
fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should
-
. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
-
) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional