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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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/en The research group of Wireless Systems at the Electrical Engineering Unit at the Faculty of Information Technology and Communication Sciences at Tampere University focuses on next-generation
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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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backgrounds to join our community. The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences
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and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Electrical Engineering is one of the six schools of Aalto University
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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
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application-driven innovation through close collaboration with academic and industrial partners. The selected doctoral researchers will contribute to ongoing national and European research projects with