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the University leadership by applying open-source solutions and the MS Azure environment to utilise AI and machine learning applications that draw on extensive datasets. You will monitor the development
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expertise in machine learning. Examples of areas of research that are a good fit for this position include active perception and understanding of complex and unstructured environments, interaction with
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specified for the position. Experience in robotic and/or machine learning is an asset for the candidate. We expect a student-centred approach and a strong passion for teaching and good teaching skills. We
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? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Digitalization, electrification, and autonomy make the machine industry to be
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logistics in industrial management. The LUT School of Engineering Sciences serves industry and society with its international expertise in separation and process technologies, computer vision and pattern
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The Institute for Molecular Medicine Finland (FIMM) at University of Helsinki | Finland | about 1 month ago
/en ). Our team includes experts in machine learning, human genetics and epidemiology. Our team, together with the Finnish Institute for Health and Welfare, is leading the FinRegistry research project
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machine learning research and in five application areas. Come do a PhD tackling challenging research questions in a network that fosters industry and multidisciplinary collaboration! The PhD students
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The Institute for Molecular Medicine Finland (FIMM) at University of Helsinki | Finland | about 1 month ago
and genetic information from large biobank-based studies (e.g. https://www.finngen.fi/en ). Our team includes experts in machine learning, human genetics and epidemiology. The DSGE Lab is initiating
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Machine learning engineering Quantum software engineering Anomaly detection in software operations Automated support in software engineering research, e.g., for SLRs Requirements: The research plan needs
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Associate/full professor (tenure track) in applied physics, especially experimental particle physics
particle physics, data analysis, and scientific computing. A background in high energy physics and experience in machine learning, modern techniques in detector performance optimisation, and real-time