246 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Postdoctoral positions in Sweden
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by: Assistant Professor Chenyu Wen, telephone +46 762275768, chenyu.wen@angstrom.uu.se . Information about the Division of Solid-State Electronics can be found at https://www.elektroteknik.uu.se
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staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . The Elf group works across traditional disciplinary boundaries
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postdoctoral researcher in textile technology with a focus on pain management using textiles. The project explores so-called MH (machine-to-human) touch as a hypothesis for alleviating chronic pain. By
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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2025/3857. Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID
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guidelines. Therefore, the university has received the HR Excellence in Research award. URL to this page https://lnu.se/en/meet-linnaeus-university/work-with-us/vacancies-page/?rmpage=job&rmjob=8885&rmlang=UK
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Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
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Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
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https://ki.varbi.com/en/what:job/jobID:889054/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteKarolinska Institutet (KI
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on the Varbi recruitment system. Want to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:889040/type:job/where:39/apply:1