170 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Finland
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- UNIVERSITY OF HELSINKI
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research in the field and engaging in dialogue with several disciplines. The appointee will teach and supervise theses particularly in the Bachelor’s Programme in Cultural Studies and the Master’s Programme
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. The university lecturer must have the readiness to acquire research funding. The appointee must have an interest to work in a multilingual and multicultural working environment and in crossdisciplinary groups and
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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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to promoting diversity, equality, and non-discrimination in all its activities. Thus, we promote equal opportunities to learn, acquire knowledge, participate, and make a difference. As an equal-opportunity
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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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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
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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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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