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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
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advanced techniques Plan and execute research on battery materials using structural, chemical, mechanical, and electrochemical methods Maintain adherence to all Laboratory and Divisional Environmental
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and automated laboratories. Responsibilities The candidate will manage several ongoing and new projects within the group’s portfolio and will work to develop and bring in new advanced project ideas
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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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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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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is expected to support and advance the on-going research program of the Fundamental Symmetries Group and to develop an innovative research plan to further enhance the reach of experimental fundamental