Sort by
Refine Your Search
-
Listed
-
Employer
- Linköping University
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- Luleå university of technology
- SciLifeLab
- Umeå University
- Linköpings universitet
- Lule university of technology
- Luleå
- Luleå tekniska universitet
- Mittuniversitetet
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Uppsala universitet
- 6 more »
- « less
-
Field
-
The Flodström Tullberg group is studying the natural history of type 1 diabetes and dedicated to advancing the development of preventative treatments. The research conducted by the group primarily explores
-
interest in human Natural Killer (NK) cell biology and the development of next-generation NK-cell–based immunotherapies. Our research integrates advanced single-cell transcriptomics, multiparameter flow
-
in English or Swedish. Closing date for applications: March 31, 2026 Reference number: 2059-2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba
-
specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence
-
hierarchies, and independence at an early career stage. English is widely used in academia, and international researchers are well integrated into both university life and society. Together with strong public
-
mathematical maturity, possess excellent programming skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you should be able to work independently, be goal
-
) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks
-
specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence
-
, despite their widespread application, key internal hydrological processes, such as spatial and temporal variability in infiltration, preferential flow formation, and post-event recovery, remain poorly
-
knowledge of English. More information about the English language requirements can be found here: https://www.slu.se/en/education/programmes-courses/doctoral-studies/application-admission-doctoral-studies