399 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs in Sweden
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Field
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data Expertisein advanced statistical analysis and machine learning methods Excellent English communication skills (spoken and written) We seek a creative, independent, and collaborative co-worker with
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seamless connectivity across terrestrial and non-terrestrial segments. In this context, data-driven, artificial intelligence (AI) and machine learning (ML)-native approaches are essential for the design and
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mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior
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research grants from funders relevant to a Swedish context. Ability to teach courses on adjacent programmes in the department, e.g., software development, human-computer interaction, embedded systems, etc
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aspects of software development (DevOps, Algorithms etc.) or informatics (e.g., content design, user experience design and human-computer interaction). You are expected to build and maintain an academic and
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software integration for all equipment within the Lab. Supporting the research community in building and integrating their equipment to the facility, with focus on keeping people and machines safe. Would you
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are united in our efforts to understand, explain and improve our world and the human condition. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of
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• Skills in machine learning and/or decision tree analytical methods, is a particularly strong merit • Experience of research focusing on health care or the health system • Experience of authoring and
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Information Technology works broadly with research within Cryptography, Computer Security, Wireless, and Fixed Networks. The security group has around 20 members. The main research directions are Cryptography
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Assistant Professor, you will contribute to a learning environment that promotes students’ responsibility for their learning in a dynamic and stimulating setting, in close collaboration with colleagues from