68 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at AALTO UNIVERSITY
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track system is expected to perform world‐class research, to teach, advise and otherwise advance both graduate and undergraduate education, to be an active member of the international scientific community
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. For more information about the Department, please visit: http://economics.aalto.fi/en/ We are part of Helsinki Graduate School of Economics (Helsinki GSE, https://www.helsinkigse.fi ), which brings together
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, molecular and mesoscale level particle-based techniques, continuum modeling, statistical approaches and machine learning. The successful candidates are expected to lead an outstanding independent research
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electrical engineering, control engineering, computer science, applied mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context
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offer At Aalto University you have the possibility to work within a well-resourced learning community where the students are rigorously selected and highly motivated. This results in an unusually
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modeling, statistical approaches and machine learning. The successful candidates are expected to lead an outstanding independent research program that complements and extends the existing research efforts
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Helsinki Graduate School of Economics (Helsinki GSE, https://www.helsinkigse.fi ) brings together the economics faculty from three Finnish universities – Aalto University, Hanken School of Economics
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work within a well-resourced learning community where the students are rigorously selected and highly motivated. This results in an interactive and intellectually challenging atmosphere. Aalto University
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Networks (https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks ). The Aalto Robot Learning Research Group (https://rl.aalto.fi ), part of the ENGAGE network, operates
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members, including 70 professors. To learn more, please visit eng.aalto.fi. Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track