Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Umeå University
- Linköping University
- Umeå universitet
- Mälardalen University
- SciLifeLab
- Chalmers University of Technology
- Linköpings universitet
- Lunds universitet
- Sveriges lantbruksuniversitet
- University of Gothenburg
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkopings universitet
- Luleå University of Technology
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- Sveriges Lantbruksuniversitet
- University of Lund
- 16 more »
- « less
-
Field
-
strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program emphasises interdisciplinary collaboration across orthopaedics
-
at cell membranes to regulate key processes in cellular signaling. By combining computational modeling with experimental data, the project aims to uncover how molecular features shape mesoscale cellular
-
duration of the education, which corresponds to four years. Position description The position involves research and doctoral education within the interdisciplinary field of energy technology and computer
-
27 Sep 2025 Job Information Organisation/Company Luleå University of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application
-
flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
-
11 Nov 2025 - 12:00 (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 Is the Job related to staff
-
experimental models that bridge laboratory discoveries to clinical applications. The program emphasises interdisciplinary collaboration across orthopaedics, otology, and odontology, integrating basic research
-
collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational modeling and simulation, as well as patient-focused and policy-related
-
is on analysing first-person descriptions of conscious experiences with the help of machine learning and large language models (LLMs) to identify, compare, and systematize different types of states of
-
models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program emphasises