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Field
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, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in Physics with applications to Material discovery and quantum chemistry - Gen AI designing
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and economic benefits for Canada and the world, while also developing the next generation of highly qualified personnel in the following priority areas: Advanced digital technologies (AI, quantum
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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used to manufacture high-precision glass components for the semiconductor industry, medical technology, and quantum technology with detailed dimensions of < 1 µm. The strong focusing of ultrashort pulsed
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performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to elucidate complex reaction mechanisms occurring at the surface of various materials. Key Responsibilities
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, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum). In this capacity you will be responsible
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systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications
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to formulate scientific problems relevant to nanoscale materials and DOE mission areas (e.g., microelectronics, energy capture/storage/conversion, quantum information science) Experience with data-intensive
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Next Generation Photonic Integrated Circuit Chips for Quantum Technology (C3.5-MPS-Faruque)
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, biophotonics, light-enabled nanotechnology, nanophotonics, nonlinear optics, optical metrology, optical quantum technology, and ultrafast spectroscopy. The research program of the candidate is expected