386 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Sweden
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autonomy and acquire the scholarly and teaching qualifications required for the eligibility requirement for appointment as a senior lecturer. The position includes research and teaching, where the candidate
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the ability to communicate research and development work the ability to teach in Swedish and/or in English. willingness and ability to contribute to a collaborative, inclusive, and dynamic research group
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start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from
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scale longitudinal surveys on ageing and health. Some analyses will be also carried out using register data. For more information about the HEALFAM-project, see: https://sites.google.com/view/healfam/home
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. Requirements for the position is the ability to teach and conduct research in English, and it is desirable that within two years you can also teach and conduct research in Swedish. We are looking for you who
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Swedish. Closing date for applications: January 12, 2026 Reference number: 6020-2025 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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to submit your claim. #LI-DNI URL to this page https://web103.reachmee.com/ext/I018/1151/main?site=8&validator=2efd9e54ee423d53334ac7960e3b4e03〈UK&rmpage=job&rmjob=3370&rmlang=UK
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
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=14188&rmlang=UK
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral