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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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requires not only expertise in LLMs and machine learning but also an understanding of the unique challenges posed by scientific data, which often includes large-scale numerical datasets, complex simulations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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, collaboration, high-quality work, and real-world problem solving. This position will conduct numerical simulation studies, work on research projects with external partners, mentor and guide graduate student