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. Objective: Develop and optimize workload-specialized interconnects and network-aware communication strategies to enhance the performance of AI and HPC workloads. Implement adaptive routing techniques and
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-disciplinary analysis efforts, and shape a growing research program. The successful candidate will receive strong mentorship and autonomy to develop a scientific vision, build collaborations, and pursue high
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reaction pathways that have potential impact on aqueous pollution remediation. Deeper insights into water-solid interfaces are essential for development of innovative and efficient technologies to extract
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the experimental observations, prepare technical reports and manuscripts, and support future project applications. Major duties and responsibilities include: Formulate slurry for catalyst membrane and battery
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The Chemical Sciences and Engineering (CSE) Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge research in the development of advanced electrolytes
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modeling is critical Considerable computational expertise in using quantum mechanical methods to calculate reaction mechanisms and kinetics in heterogeneous systems is essential Ability to program in C++ and
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and methods, fostering innovation and accelerating progress in the development of efficient solar energy conversion technologies. Position Requirements Recent or soon-to-be-completed PhD (within
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Intelligence, Machine Learning, Quantum Information and Quantum Simulation. The successful candidate will be expected to lead an independent research program in particle theory to strengthen and complement
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experiment research program, particularly in the ATLAS experiment. The successful candidate is expected to take a leading role in data analysis, detector construction, and experiment operations. In
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opportunity to contribute to cutting-edge research in data management and AI technologies. Key Responsibilities: Develop and scale data infrastructure for AI applications on supercomputing systems Work