791 engineering-computation-"https:" "https:" "https:" "https:" Fellowship research jobs
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied
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Medical - Clinical Internal Number: A-175748-11 General Description Our acute care occupational therapy program aims to develop occupational therapists who provide innovative and evidence-based care across
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20 Dec 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Singapore Application
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5 Dec 2025 Job Information Organisation/Company University of Algarve Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country
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United Kingdom Application Deadline 3 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve
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: Computer Science Admission requirements: • Be enrolled in a degree program in Artificial Intelligence, Computer Science, Computer Engineering or related field; Research Initiation Fellowships (BIIs) can only
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setting The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest
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to the main supervisor: Professor Tim Anstey, email: tim.ainsworth.anstey@aho.no General information about the PhD Programme: https://aho.no/en/content/phd-program About AHO The Oslo School of Architecture and
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The Department of Computer Science invites applicants for 24 month (with possibility for extension) postdoctoral fellowships in (i) Multi-Modal Representation Learning for Design of Sustainable Food