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Field
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Learning (AIML), driving the growth of Industrial AI across key areas such as natural language processing, computer vision, and machine learning. In this role, you will undertake cutting-edge research
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the Northeastern University-Moderna Academic-Industrial Fellowship Program. The Postdoctoral Fellows will support efforts in either Pharmacometrics (PMx) or Quantitative Systems Pharmacology (QSP). Both fellows will
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Fixed-term contract up to April 2028 The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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30th April 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Systems Engineering Apply
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applications for its new Postdoctoral Fellowship Program. About the Program NYU Shanghai ("the University") recognizes that the training of postdoctoral fellows is an essential component of our research mission
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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on methodology and academic writing Other career-promoting work Required selection criteria A doctoral degree (PhD) in solid mechanics, computational mechanics, or a closely related field, with a strong academic