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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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contract proposals, and contributing to exploratory research in the company’s R&D programme. The Scientist works closely with Senior Scientists to conduct investigations and report scientific findings. We
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. (Desirable) Capability to assess and use appropriate empirical and computational methods, while also contributing to innovation within the programme - including identifying and recommending new tools
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Job Title: Associate Editor, Discover Journals (Computer Science, Cybersecurity or Networks) Location: Pune/Beijing/Shanghai/Nanjing, Hybrid working model Closing Date: Nov 6th, 2025 About the
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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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applications for faculty positions in Mathematics. Faculty whose research lies in Mathematical Analysis (including Numerical Analysis), Algebra and Algebraic Geometry, Applied Mathematics (PDEs, Operations
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practice. (Desirable) Capability to assess and use appropriate empirical and computational methods, while also contributing to innovation within the programme - including identifying and recommending new
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling