Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Umeå University
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Linköping University
- SciLifeLab
- Nature Careers
- Karlstad University
- Linnaeus University
- Sveriges lantbruksuniversitet
- University of Lund
- Lulea University of Technology
- Mälardalen University
- Karlstads universitet
- Umeå universitet
- University of Borås
- University of Gothenburg
- Uppsala universitet
- ;
- Jönköping University
- Karolinska Institutet (KI)
- Lunds universitet
- Mid Sweden University
- Umeå universitet stipendiemodul
- Örebro University
- 15 more »
- « less
-
Field
-
European Marie Sklodowska-Curie Doctoral Network FADOS. The successful candidate will join a cohort of 17 doctoral students based at 16 research groups in Europe and the UK. About FADOS: FADOS, Fundamentals
-
develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
-
skills, including communication to various audiences, career development, intellectual property and startup-funding. The doctoral candidates will form a strong cohort through participation in seven network
-
are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
-
are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science The EU MSCA Doctoral Network
-
academic writing Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image
-
diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
-
neural networks Documented experience with image analysis Strong competence in Python programming and Linux/HPC environments Prior experience of virtualization and software development Good social skills
-
Tick-borne Bacteria is part of the Swedish Laboratory Network in Microbiology (SLIM) coordinated by the Public Health Agency of Sweden. NRL's mission is to provide primary and confirmatory diagnostics