178 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in Finland
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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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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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research in the field and engaging in dialogue with several disciplines. The appointee will teach and supervise theses particularly in the Bachelor’s Programme in Cultural Studies and the Master’s Programme
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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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research environment, with continuous support for learning, training, and professional development. You will receive encouraging supervision in collaboration with Associate Professor Anni Tuppura and
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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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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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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