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) Established Researcher (R3) Application Deadline 14 Feb 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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. Coordinates and/or administers the operational and/or financial activities associated with the PhD graduate program. Coordinates Psychology PhD graduate programs alongside program directors (PDs) and Graduate
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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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the Department of Slavic Languages and Literatures. Required Qualifications : PhD in Slavic, Comparative Literature, or closely related field. Responsibilities: Teach a range of courses at the undergraduate and
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of Philosophy (PhD) in a scientific or engineering field, preferably in computer science, electrical engineering or ICT. Excellent communication and presentation skills in the English language. Team collaboration
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Posting Link: https://www.ubjobs.buffalo.edu/postings/60486 Posting Detail Information Position Summary The Institute for Artificial Intelligence and Data Science (IAD) at the University at Buffalo (UB
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partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations
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, postdoctoral scientists, PhD students and scientific officers. It is one of Europe's leading cancer research centres, supporting cutting-edge work into the molecular mechanisms of cancer development. As
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning