Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Umeå University
- Lulea University of Technology
- Chalmers University of Technology
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Sveriges lantbruksuniversitet
- University of Lund
- Lunds universitet
- SciLifeLab
- Nature Careers
- Uppsala universitet
- Umeå universitet
- Jönköping University
- Luleå University of Technology
- Mälardalen University
- Chalmers University of Techonology
- Fureho AB
- KTH Royal Institute of Technology
- Linköpings universitet
- Linnaeus University
- Malmö universitet
- Mid Sweden University
- School of Business, Society and Engineering
- Stockholm University
- 15 more »
- « less
-
Field
-
3 Sep 2025 Job Information Organisation/Company Umeå University Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
-
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
-
First Stage Researcher (R1) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme
-
29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 583--1-9396 Is the
-
training programme complementing scientific skills with personal and entrepreneurial skills, including communication to various audiences, career development, intellectual property and startup-funding
-
build the sustainable companies and societies of the future. The research subject of Building Materials consists of 19 persons, including five professors and two postdoctoral researchers. The subject
-
computing. The long-term goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain. It will also be naturally connected to new
-
qualifications: a PhD within within the field of microscale acoustofluidics postdoctoral experience within the field of microchip based acoustofluidics documented experience of COMSOL-modelling within fluid
-
of multivalent nanoparticle vaccines. The team was recently awarded an ERC Advanced Grant to determine the optimal combination of epitopes that elicits the highest level of protection. Within
-
methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models