120 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Finland
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- UNIVERSITY OF HELSINKI
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- Natural Resources Institute Finland (Luke)
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- Itä-Suomen yliopisto
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of Helsinki, it must be applied for separately (https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes ). The requirements for pursuing a doctoral degree at
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Helsinki, Vaasa, Porvoo, and Hamina. Helsinki, Pitäjänmäki: motors, generators, drives, robots, CPM energy management systems and paper machine drive solutions, global ABB Ability™ platform development, and
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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
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) to study talk and interaction in multinational crisis management training. The studied situations involve military and civilian personnel who are trained to participate in international peace-keeping and
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net period of time, which does not include parental leaves, military service etc.) good skills in spoken and written English motivation for research work in aerosol physics or chemistry. Please note
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be filled for a fixed-term period of 3 months, commencing on 1 June 2026 or as mutually agreed. Trial period of 1 month applies. 1. Aerosol physics https://www.tuni.fi/en/about-us/aerosol-physics
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, interests, and strengths, offering a flexible and rewarding research environment. Our expectations of the applicant A solid background in remote sensing Strong computer and software skills, including