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14 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | about 24 hours ago
/benefits Application Instructions: Candidates with PhDs in Astronomy, Physics, Computer Science, Electrical Engineering, Statistics, or related fields are invited to apply. Note: Applicants must complete
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18 Sep 2025 Job Information Organisation/Company Universitat Politècnica de València Department VRAIN Research Field Engineering Computer science Information science Researcher Profile Recognised
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Associate once the PhD has been awarded. The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and
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Ecosystems to join the Institute for Design Informatics, Edinburgh College of Art. The Opportunity: This is an exciting opportunity to contribute to a major European Commission-funded project focused on data
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A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
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biological and epidemiological questions. Write up the research findings for publication in top-tier scientific journals and conferences. Qualifications Ph.D. in computer science, statistics, epidemiology
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, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS PhD in Mathematics or Computer science, A good understanding of BFT ; Ability to link technical problems and algorithms, graphs
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs