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models are accurate, safe, interpretable, clinically applicable, and ethically deployed. Job Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field. Good written and oral
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) Positions PhD Positions Application Deadline 1 May 2026 - 23:59 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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committed colleagues Social activities organized by PhD Students Weekly social gathering on Fridays (Friday coffee) Working capital that can be used to implement the project Mentor programme as a new
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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
(Germany). Furthermore, a varied pedagogical training programme will be offered to the successful candidate throughout the 3-year PhD project. NEXTSTEP will train 36 young and enthusiastic researchers
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About the Opportunity JOB SUMMARY: We are seeking to hire two Postdoctoral Research Associates through the Northeastern University–Moderna Academic–Industrial Fellowship Program. The Postdoctoral
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science, Electrical and Space Engineering at Luleå University
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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AI / Machine learning / Computational Oncology lab:Our work is translationally focused, towards realizing our vision of developing new approaches for fast and low-cost prediction of patient response