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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locations: the Viikki Flow Cytometry unit on the Viikki campus and the Biomedicum Flow Cytometry unit on the Meilahti campus. https://www.helsinki.fi/en/infrastructures/flow-cytometry We invite applications
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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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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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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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: 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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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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well as to learn a variety of scientific skills and technologies while making connections within and beyond the institute. WHAT WE OFFER Research training in diverse research areas with exceptional potential
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partners, thereby ensuring that all DCs will spend time in both academia and industry. The details of each project description and further instructions on How to Apply for them can be found at https
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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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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