150 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Finland
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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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: 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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). Programming skills with Matlab, C/C++ or Python. Research experience in machine learning and artificial intelligence and/or inverse problem applied to imaging applications. Salary The position is fixed-term
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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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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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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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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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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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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and