5 electrical-machine-design-"https:" "https:" "https:" "https:" "https:" positions in Finland
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excellent study records in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
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AI Literacy” (https://ceur-ws.org/Vol-4138/paper3.pdf ). About the position You will support the further development of COMIG and contribute to empirical data collection, analysis, and reporting. You
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting