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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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also assist in the building of an open-access data repository for training scientific AI models. Read more: https://www.nsf.gov/tip/updates/nsf-announces-400m-investment-new-national-network-ai https
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Engineering, Applied Mathematics, Scientific Computing, Computer Engineering, or a related discipline. Excellent academic results. Strong background in power systems and an interest in system dynamics and
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Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Description The full job description can be found on Isaacson, Miller: https
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Computer science » Informatics Physics » Quantum mechanics Engineering » Communication engineering Engineering » Computer engineering Engineering » Electrical engineering Engineering » Biomedical engineering
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Field Computer science Engineering Information science Technology Researcher Profile Recognised Researcher (R2) Application Deadline 31 Dec 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date
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8 Sep 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Systems (HPC); Data Science; Software Engineering; Artificial Intelligence; Computer Networks; Operating Systems; Distributed and Mobile Systems; and Computer Vision. In particular, the researcher will
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worldwide. We host a vibrant doctoral training programme in Science, Technology and Innovation Policy (STIP), currently comprising around 28 PhD students across all cohorts. The Institute and Division also