155 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Finland
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- UNIVERSITY OF HELSINKI
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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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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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teach German language and culture to students who have no previous knowledge of the subject. The position is part of the national SARAVE project of Finnish universities and located at the University
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cooperation in a multidisciplinary environment Pedagogical studies, merits and experience Merits in supervising Bachelor’s, Master’s and doctoral students Proficiency in Finnish or strong motivation to learn
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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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-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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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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. 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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, 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