256 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs in Sweden
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. 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&rmjob=14445&rmlang
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such as the heart and nervous system, invariably with fatal consequences. The project will focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles
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an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com
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Trollhättan The application deadline is 2026-03-01 If you want to learn more about the Swedish Academia please visit: https://sverigesungaakademi.se/en/publications/a-beginners-guide-to-swedish-academia/ We do
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regular project meetings and collaborate closely with other members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working
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at the Department of Medical Biochemistry and Biophysics, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://www.umu.se/en
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-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational