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platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery. The research will target advanced
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, calibration, and optimization of a state-of-the-art single-photon-emission characterization platform together with ultrafast and time-resolved optical instrumentation. Develop, implement, and continuously
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to provide an optimal context for pursuing research toward publications. Consequently, while Fellows have the option of teaching a course in their areas of expertise, teaching does not constitute a requirement
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technologies, including the development and experimental validation of waveguide-integrated SNSPD devices; process integration; optical coupling optimization; on-chip detection-efficiency measurement; timing
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expected to conduct research in integrated polaritonic devices and waveguides, including the design, fabrication, optimization and experimental characterization of polaritonic waveguides, polariton lasers
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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learning are preferred. Key Responsibilities: Strong candidates should take the lead of at least one of the following responsibilities: Soil organic carbon model development and optimization, focusing
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++, Java, Julia, or other competent languages. A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, and optimization
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contingencies Develop a comprehensive framework for evaluating the criticality of contingency events considering multiple impacts Develop a coordinated and risk-averse optimization framework for interconnected
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Optimization of formulation for polymer synthesis and functionalization for actuators fabrication Contribute to ongoing soft robotics research Collaborate with faculty and other researchers on interdisciplinary