157 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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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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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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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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, military service etc.) Excellent/good skills in spoken and written English. English is used as the language of instruction and supervision in this position. Expectations A formal background in bioinformatics
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-Pohjanmaa Country: Finland Reference number: 2026/124 Published: 2026-03-04 Last application date: 2026-04-30 Where to apply Website https://academicpositions.com/ad/university-of-oulu/2026/professor
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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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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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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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) 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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, 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