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leadership role in advancing the research agenda within the group, developing new directions in cryptographic theory and practice, and mentoring junior researchers. Responsibilities include leading
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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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Responsibilities: To conduct independent research in deep learning theory. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project
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investigator Ryan Chisholm from biology and co-investigators Ben Blumson and Shang-Long Yeo from philosophy. Applications from candidates specialising in philosophy of biology, ethics or game-theory
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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on progress and report writing Job Requirements: PhD degree in chemical engineering or closely related field Good understanding of LCA and TEA theories and calculations Experience on ASPEN-HYSYS and LCA
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: Research activities related to Quantum Machine Learning, Agents and Information Theory Job Requirements: For the Research Fellow position, the candidate must hold a Ph.D. degree in quantum information
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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analysis (e.g., knowledge of Qualtrics, R, Python, etc., with strong statistical theory). An outstanding research record appropriate to the present stage of career, with evidence of potential for producing
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lifetime imaging. Broad knowledge and hands-on training of design, theory and operation of advanced light microscopy systems, including skill and experience in their operation. Mechanical and electronic