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Field
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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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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and
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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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RXN). Familiarity with reaction condition prediction and reaction yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high
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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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applications in biological and quantum materials. The work will include developing, planning and performing experiments, critically analyzing results, performing optimization to improve outcomes, and generating
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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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, substrate scope, selectivity, and reaction performance. Applying AIMNet2 and related ML/QM methods to accelerate conformer search, reaction-path exploration, catalyst screening, and high-throughput
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How is the Sars-Covid genomic RNA packaged? Job