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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR photodetectors based on III–V
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-body systems and development of new neutron sample environment that allows time-resolved neutron scattering capabilities. This position resides in the Quantum Heterostructures Group in the Foundational
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multi-physics simulations on high performance computing (HPC) and ML Experience working in a multi-disciplinary research environment Special Requirements: Applicants cannot have received their Ph.D
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PbS materials for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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information science and light–matter engineering, while engaging with CNM’s cleanroom and characterization capabilities, APS ultrafast and nanoprobe X-ray beamlines, MSD’s THz initiatives, and Q-NEXT’s national quantum
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of large and multidimensional datasets High Performance Computing (HPC) Low temperature physics High magnetic field physics Synchrotron and neutron facilities X-ray scattering Compensation and Additional
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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scientist to carry out a research programme focused on developing novel ultrafast light-source technologies in gas-filled hollow-core anti-resonant fibres. The role will involve working in close collaboration