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profile that fits the project and the research group: I have a Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field and performed above average in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
(R1) Country Australia Application Deadline 1 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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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/jobs/357017/phd-position-in-personnel-readi… Requirements Specific Requirements Master’s degree in computer science, artificial intelligence, military science, or a related field. If you expect to obtain
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explore innovative uses of Artificial Intelligence/Machine Learning, neuromorphic computing, and photonic architectures to enable robust, intelligent, and reconfigurable networks capable of operating in
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5182 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
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or Doctor of Philosophy (PhD) in computer science, engineering, or related technical field. Minimum 2 years of experience in EU-funded R&D projects. Demonstrated experience in preparing and submitting
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. News & World Report’s “”https://nursing.rutgers.edu/news/rutgers-school-of-nursing-among-highest-ranked-in-u-s-news-2025-best-graduate-programs/“>2025 Best Graduate Programs.” Our bachelor’s program is
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. Further information about the PhD program at KMD can be found here . The department will host an online orientation meeting for the position 8 January 2025 at 12.00 hrs (CET). Participate at: https
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Institute for Computer Science, Artificial Intelligence and Technology Position ID: INSAIT-TTROBOTLEARNING [#31280] Position Title: Position Type: Tenured/Tenure-track faculty Position Location