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Postdoctoral Fellow scheme under the UM Talent Programme aims to attract outstanding PhD graduates to conduct research at UM so as to strengthen the research capabilities of the University. UM now invites
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Postdoctoral Fellow scheme under the UM Talent Programme aims to attract outstanding PhD graduates to conduct research at UM so as to strengthen the research capabilities of the University. UM now invites
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Postdoctoral Fellow scheme under the UM Talent Programme aims to attract outstanding PhD graduates to conduct research at UM so as to strengthen the research capabilities of the University. UM now invites
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Postdoctoral Fellow scheme under the UM Talent Programme aims to attract outstanding PhD graduates to conduct research at UM so as to strengthen the research capabilities of the University. UM now invites
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, or algorithms for signal processing and machine learning in the broader domain of Astrophysics and/or Earth Observation. Candidates holding a PhD in Computer Science, Astrophysics, or a closely related field must
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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Information science Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Jan 2026 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience