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capacity-building initiatives. You should apply if You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard
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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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contribute to institutional development and capacity-building initiatives. You should apply if You hold a PhD in immersive technologies or related fields (e.g., VR/AR/MR/XR, HCI, AI for XR, computer graphics
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development and capacity-building initiatives. You should apply if You hold a PhD in Mathematical Statistics and Data Science. You have proven ability to teach at a high standard and an emerging track record
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of Economics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent research projects
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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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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
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Shiv Nadar Institution of Eminence | Vidyut Nagar Gautam Buddha Nagar, Uttar Pradesh | India | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics in the School of Natural Sciences at Shiv Nadar Institution of Eminence (SNIoE
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in our key strategic fields, including but not limited to: Advanced Integration Technology, Biomedical and Health Engineering, Advanced Computing and Digital Engineering, Biomedicine and Biotechnology
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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