181 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
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methods and software development. The objective of the Unit is to balance basic and industrially applicable research, having both performed with excellence in each of the research areas. The positions will
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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programs The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why
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resources for research including LUMI supercomputer and close collaboration with companies and the ELLIS network. Read more and apply by February 9 at https://www.ellisinstitute.fi/postdoc-recruit-2026 Where
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Flexible working hours and good work–life balance Access to excellent research infrastructure, field sites, and analytical support Occupational health care, sports facilities, and staff development services
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the Finnish-language job announcement for further information: https://ats.talentadore.com/apply/tutkijatohtori-sustainable-rural-futures-hanke/m5npoR Department of History and Ethnology The Faculty
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the Finnish-language job announcement for further information: https://ats.talentadore.com/apply/vaitoskirjatutkija-sustainable-rural-futures-hanke/813zEq Department of History and Ethnology The Faculty
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development