178 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Finland
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see https://www.helsinki.fi/en/about-us/careers . A diverse and equitable study and work culture is essential to us. That is why we do our best to promote an inclusive university community. We encourage
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internationally recognised research and contribute to teaching at all levels in the relevant degree programmes. Key Responsibilities: Conduct high-quality research Teach and supervise students at the doctoral
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- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open positions available at the Åbo Akademi University in Turku can be found here: https
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positions available at the Åbo Akademi University in Turku can be found here: https://www.helsinki.fi/en/researchgroups/immune-endothelial-interfaces How to apply Please submit your application as a single
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provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information
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ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning
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establish independent research groups at FIMM and contribute to the development and application of cutting-edge statistical and machine learning methods in molecular medicine and population health. This group
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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data library Apply diverse data science and machine learning methodologies, including the development of novel analytical approaches. Work and communicate efficiently in a highly interdisciplinary
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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is