Sort by
Refine Your Search
-
Listed
-
Employer
- Umeå University
- Uppsala universitet
- Chalmers University of Technology
- Linköping University
- Linköpings universitet
- Lunds universitet
- University of Lund
- Nature Careers
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- Chalmers University of Techonology
- Fureho AB
- KTH Royal Institute of Technology
- Luleå University of Technology
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- 7 more »
- « less
-
Field
-
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
-
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
-
within LTU’s AIC³ Lab (Automation, Industrial Computing, Communication, and Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures
-
the Wallenberg Initiative on Networks and Quantum Information. Quantum sensing is a rapidly developing quantum technology that promises unprecedented precision in measuring small parameters and detecting weak
-
helping to build up an international research network and spending some time abroad at a relevant international university) Write single-authored and co-authored articles for publication in high-ranking
-
. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
-
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
-
networks (CNNs), which identify local correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit
-
receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available