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Field
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware control, network optimization, or joint communication and sensing is highly
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salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research
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specific responses to global change Land surface and Earth system modeling Plant resource uptake and use optimization Within the lab and at UNL, the postdoc will have access to state-of-the-art
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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control, network optimization, or joint communication and sensing is highly desirable. Experience with artificial intelligence, machine learning, reinforcement learning, or optimization techniques applied
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Lehigh University Plasma Control Group (LU-PCG) and contribute to advanced control synthesis, neural observer development, scenario optimization, and AI-enabled digital twins for magnetically confined
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Contract Research Organization (CRO) of a network of 50+ hospitals that participate in BCC's investigator-initiated clinical trials. The Pediatric Oncology Translational Research Lab is the preclinical
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an ambitious research agenda that advances trustworthy, interpretable, and scalable AI for science while collaborating with leading experts in machine learning, optimization, scientific computing, domain