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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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, multimodal sensing, 3D packaging) Alternative Computing (neuromorphic, chaos-based approaches) Apply via IISc’s portal: https://www.cense.iisc.ac.in/opportunities/ CeNSE actively encourages applications from
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authority to recommend disciplinary actions when necessary. Your deep understanding of operational processes across all supported divisions will be essential as you ensure continuity of service, provide
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prominent university; Major in life science related fields such as biology, medicine, pharmacy, bioinformatics, etc. (6) Distinguished (associate) researcher The age of the distinguished associate researcher
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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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hours of operation are Monday through Friday from 8:00am to 5:00pm (Pacific Standard Time). This position offers flexibility in the assigned work schedule; however, the successful candidate must be
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sessions (lectures, seminars, workshops, etc.) across a range of academic skills, digital/computer skills and business-related modules at undergraduate level (Level 4 RQF / Level 7 SCQF). Please note that
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research and development efforts. Through a competitive selection process, the program identifies exceptionally talented individuals at various career stages, from recent graduates to experienced researchers
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the advertisement. Application/Nomination Process: An advance copy of the application in the prescribed proforma, given at the end of this advertisement, should be neatly typed and sent as a PDF file along with
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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