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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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, video, haptics). While SINLAB addresses applications in health, industry, education, sports, entertainment and creative domains, the focus of the PhD candidate will be on remote collaborative physical
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Universiteit Brussels, Brubotics and SUME. Brubotics (https://www.brubotics.eu/ ), is the robotics research group, and has for the last 10 years a research line on additive manufacturing, in particular in
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higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in a relevant field
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across Swedish academia and industry. Applicants must hold a PhD (or equivalent) prior to the start of employment. For positions at Swedish universities, candidates should normally have obtained their PhD
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://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-formal-methods-for-industrial-engineering Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-fo
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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multidisciplinary team and with academic and industry partners nationwide. The role includes responsibility for experimental design, data integrity, and delivery of project milestones. Expected outcomes include
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic