86 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Finland
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- UNIVERSITY OF HELSINKI
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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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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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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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project, titled "Linguistic distance, language learning, and educational attainment," aims to investigate the effect of linguistic distance on educational performance and understand what makes students
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cells in various diseases such as atherosclerosis, hypoxic-ischemic encephalopathy, and multiple sclerosis (https://mildnerlab.utu.fi/ ). About the Position We are looking for a person able to analyze
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to the construction of the database, we offer an opportunity to conduct your own research on the project’s themes with an especial view to facilitating your career development. We offer the possibility to learn and
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our website to learn more. How to apply? Submit your application by using our electronic application form no later than 6 February 2026 by 24:00 (midnight) Finnish time (UTC+2). Please note that you
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volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large
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microelectronic hardware. Preclinical in-vitro and in-vivo testing of devices and methods will allow real world validation of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview
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note that, the selected candidate must apply for a study right within the doctoral program at Tampere University, unless they already have one. Please visit the admissions webpage https://www.tuni.fi/en