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institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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sensors is required. In particular experience with GNSS based synchronization. Qualifications • Possess a PhD in Electrical Engineering or similar field • Experience in analyzing and designing
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
Fellow will hold a PhD (or be waiting conferment) in an area of the social or natural sciences that is relevant to forest governance and/or the financing of forest carbon schemes. Ideally the person
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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. Computer Science and Software Engineering: Software development lifecycle (SDLC), requirement analysis, design, testing, performance optimisation, databases, computer graphics, distributed systems, computer vision
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in
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industry trends Qualification Education: Master’s or PhD in Data Science, Statistics, Energy Systems, Engineering, Applied Mathematics, or a related field. Experience: 3–5 years of experience in forecasting