121 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Finland
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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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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and engagement programme with Small to Medium Enterprises (SMEs). IVI has developed the ReThink ReDesign programme (https://ivi.ie/rethink-redesign/) which leverages research grants and supports from
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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
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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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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
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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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-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational
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into the UTUGS doctoral programme, the title will be updated to doctoral researcher. Eligibility requirements for these positions are defined in the University of Turku's regulations: https://www.utu.fi/en
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of Computing The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent