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The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main
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work at the interface of micro/nanofabrication, point-of-care (POC) development, and biomedical diagnostics. This role offers a unique opportunity to contribute to the design and optimization
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optimization using tools such as Lumerical FDTD, or equivalent simulation platforms. • Analyze device physics and process–performance relationships, collaborate with multidisciplinary research teams, and
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for Science with inadequate attention and support. This proposal addresses the gap by focusing on the development of optimized implementations for AI for Science workloads. Bespoke communication and computation
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the conversion of CO2 into value-added chemical products. Roles & Responsibilities: • Design, synthesize, and optimize catalysts for CO2 hydrogenation to useful chemicals. • Conduct catalytic testing
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. • Knowledge of UAV communication systems and embedded AI. • Experience with simulation environments such as Gazebo, AirSim, Isaac Sim, or MATLAB/Simulink. • Experience in optimization
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. The postdoc will engage in research including, but not limited to, the following areas: • Mixed-Integer Linear / Quadratic Programming for large-scale decision-making problem • Non-Convex Optimization and
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development, operation and optimization of plasma devices and associated diagnostics. Experience or exposure to plasma diagnostics. Strong written and verbal communication skills with demonstrated ability
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optimization”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment