29 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions in India
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The role We are seeking a motivated and engaging Teaching Associate in Data Science / Statistics to join our academic community. You will contribute to high‑quality teaching, assessment and student
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The Chief Architect of Centre of Excellence(CoE) for High Performance Computing and Data Science will serve as the principal architect of DSU’s B200 supercomputing infrastructure, ensuring it
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
or senior professors from world-class universities. Recruitment Information: https://english.pkusz.edu.cn/info/1061/2172.htm PKUSZ: https://english.pkusz.edu.cn/index.htm PKUSAI4S: https://ai4s.pkusz.edu.cn
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about professional development and eager to contribute to a pioneering academic venture. Additional information You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate
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information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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The role We are seeking a committed and enthusiastic Teaching Associate in Financial Technology with Data Science to join our academic community. You will contribute to delivering high‑quality
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high-performance computing and AI, the Chief Architect will drive innovations in computer vision, graphics, NeRF-based systems, and real-time spatial intelligence. Beyond research, the role emphasizes
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identification. This work will involve the analysis of large-scale, multi-modal datasets, including genomic/multi-omic data (short- and long-read based), imaging and health records, using state-of-the-art data