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Job Description In the era of rapidly advancing artificial intelligence, the project aims to bridge the gap between human language understanding and mathematical problem formulation. This project
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management. It is expected to deliver intelligent decision tools through reinforcement learning, simulation, and optimization techniques. Strong expertise in traffic simulation, mathematical programming, and
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engineering, computer science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral
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. Applications are invited from candidates who have a solid background in algorithm design, computational complexity, and mathematics and have completed their Ph.D. degree in theoretical computer science
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background in inverse design. 2. Working experience in the field of photonic devices, topology optimization and high-performance electromagnetic computation. 3. Mathematics and specific knowledge required in
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Job Description An experimental Postdoctoral Researcher Position in the group of Dr Ahmet Avsar at Material Science and Engineering Department of National University of Singapore is available to develop novel spintronics devices based on magnetic topological insulators. The research involves...
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Mathematics, Algorithms and Social Media Analytics Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow, Nengo Good written and verbal communication skills in English Familiarity with non
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of topological photonic crystal, robust light transmission, robust light localization, on-chip light source device. • Mathematics and specific knowledge required in electrodynamics, band theory, photonic
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mathematical and economic models of HPV vaccination and other infectious diseases. • To support ethics applications; • To contribute to peer-reviewed publications and other outputs, including as lead author
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the field, perform empirical analysis on lab and field data. Job Requirements have at least a basic degree, preferably from quantitative field (e.g., Computer Science, Economics, Mathematics, etc