58 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in India
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representations and analytic group theory, which will be held July 1 - December 18, 2026. The fellowship will be INR 350,000 per month. For further details, see: https://sites.google.com/view/lmsi-fall2026
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excellent communication, leadership, and collaborative skills. You are proactive about professional development and eager to contribute to a pioneering academic venture. Additional information You can apply
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Rights, the Department of Education’s Office of Civil Rights, or both. More information, resources, and contact information are available here: https://ccr.wsu.edu/notice-of-nondiscrimination/
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or in writing to WSU’s Compliance and Civil Rights, the Department of Education’s Office of Civil Rights, or both. More information, resources, and contact information are available here: https
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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
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will be the primary criterion for selection. Further information about the institute can be found at ksom.res.in . Eligibility Applicants must hold a Ph.D. and have at least three years of postdoctoral
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning