256 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Postdoctoral research jobs in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Karolinska Institutet (KI)
- Linköping University
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet stipendiemodul
- Uppsala universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Lulea University of Technology
- Umeå universitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Örebro University
- KTH
- Sveriges Lantbruksuniversitet
- IFM, Linköping University
- Jönköping University
- Luleå tekniska universitet
- Mälardalen University
- SLU
- University of Borås
- European Magnetism Association EMA
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Institutionen för växtskyddsbiologi
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 28 more »
- « less
-
Field
-
wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job
-
Website https://umu.varbi.com/en/what:job/jobID:899404/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå
-
Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
proteomics analyses. APPLICATION PROCEDURE Please note that the application procedures differ between the two postdoc projects. More information about the application procedures is provided here: https
-
in English or Swedish. Closing date for applications: 3 May, 2026 Reference number: 2304-2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba
-
/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
-
geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
-
, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
-
the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will
-
that you will help us to build the sustainable companies and societies of the future. The research at the Division of Machine Elements is mainly focused on tribology and its applications. The research group
-
scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently