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The successful applicant will lead the new team to develop and deliver the Construction and Project Management (CPM) MSc programme in GIFT city, Gujarat, India. The CPM programme will be based
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other Editorial colleagues. Experience, skills and qualifications: Educated to PhD level (or equivalent), or MS with research and publishing experience, in Computer Science or a closely related field with
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positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics are especially
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
for Materials Science, AI for Life Science, and Computational Mathematics. We welcome candidates whose research aligns with these directions and who are eager to contribute to an open, cutting-edge, and cross
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The Air Force Science & Technology Fellowship Program (AF STFP) provides nationally competitive fellowship awards for postdoctoral and senior scientists. Selected individuals have the unique
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Research, Optimisation including Optimal Control, Information Theory including Coding Theory, Cryptography, Quantum Computing, Financial and Actuarial Mathematics, Mathematical Economics, Mathematical and
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candidates with excellent academic and research records, and at least 3 years of post-PhD research experience, in the following areas: Advanced CMOS Devices (memory, RF) Photonics & Lasers (on-chip sources
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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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Shiv Nadar Institution of Eminence | Vidyut Nagar Gautam Buddha Nagar, Uttar Pradesh | India | about 1 month ago
10 Oct 2025 Job Information Organisation/Company Shiv Nadar Institution of Eminence Department Physics Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical