169 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Finland
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2026. The research will be carried out within the newly established Centre of Excellence (CoE) in Neutron-Star Physics (https://neutronstars.fi/ ), funded by the Research Council of Finland. The CoE
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, welfare know-how, modern technology and superb education system, Finland is an exotic and safe country to work in. Please visit the Life in Finland section on our website to learn more. How to apply
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at https://www.luke.fi/fi/documents/luke-research-plan-template-0 For further information on the recruitment and scientific evaluation of Lukes research professors, please visit https://www.luke.fi/en
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website at https://www.helsinki.fi/en/faculty-medicine/about-us/work-us How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button
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information, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology . University of Helsinki's Biomedicum Helsinki is an elite community of over 90 research groups on the Meilahti campus
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches
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. Application period ends: 2026-01-28 23:59 Where to apply Website https://academicpositions.com/ad/tampere-university/2026/doctoral-researcher-vi… Requirements Research FieldArtsYears of Research Experience1 - 4
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: HR Specialist Titta Syväoja (titta.syvaoja(at)tuni.fi) Application period starts: 2026-01-19 09:30. Application period ends: 2026-02-01 23:59 Where to apply Website https://academicpositions.com/ad
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teaching experience and pedagogical training, the ability to produce learning materials, additional teaching merits, a demonstration of teaching skills if required, and involvement in doctoral education
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on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training