156 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Finland
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- UNIVERSITY OF HELSINKI
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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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(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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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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, 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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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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-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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of materials development. They will teach across the Department’s undergraduate and graduate programmes and majors. Your role and goals You will support students in establishing their independent and critical
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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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ORCID-profile (https://orcid.org ) works: your publications are listed and public (Set visibility: Everyone). You cannot apply to this job without an ORCID profile. The application documents that should
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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