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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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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine
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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