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Field
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
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hardware technologies. Conduct hardware performance evaluations (e.g. area, power, efficiency). Develop software strategies for communication-aware task scheduling and runtime optimization. Explore low-power
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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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Associate) PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply. Background in the application
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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areas, enrolled in a PhD or in non-degree courses. DURATION: The fellowship will have a duration of 12 months, eventually renewable until the end date of the project or up to the maximum duration
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the area of plant science, ideally with a focus or use of
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electrolyte and polyanion or oxide-based cathode materials. Project aims to optimize synthesis conditions for scale-up production of solid electrolytes (ceramic and polymer electrolytes) and positive/negative
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research in the area of robust optimization and bounded rationality. • Assist in supervising research and undergraduate students. • Assist in teaching related modules. Job Requirements • A PhD