173 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Finland
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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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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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, 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
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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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to align with your strengths and preferences. Our expectations of the applicant We are seeking candidates with: • A strong background in remote sensing • Excellent computer and software skills (e.g
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from
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important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. More information: https
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: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply
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of solar energy systems, applying machine learning methods, and data analysis. A background can be in materials engineering, physics, electrical engineering, computer science, or another suitable field. In
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a proficiency in Finnish. If the appointee is not proficient in Finnish, they are expected to acquire intermediate level skills (CEFR level B2; https://europa.eu/europass/en/common-european-framework