866 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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creative and stimulating environment with the opportunity to network with both the business community and international contacts. Read more about our benefits and what it is like to work at SLU at https
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, in close collaboration with 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
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foster 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
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. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE
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wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.) We welcome your application. Where to apply Website https://lu.varbi.com/en/what:job
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below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: April 21, 2026 Reference number: 2788-2026 URL to this page https://web103.reachmee.com
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these are affected by breeding, physical activity, care, production, stress, environmental factors and disease. Please visit the following homepage for more information on the Department: https://www.slu.se/en/about
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods