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Field
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studying the connections between changing ocean physics, biogeochemistry, ecosystems, and marine resources. Duties include but are not limited to: ● Conduct simulations under future climate scenarios
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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The High Energy Physics Division at Argonne National Laboratory invites applications for a postdoctoral appointment focused on the design and simulation of advanced detectors for future high-energy
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process technologies using tools such as Cadence. Strong background in design and simulation of spiking neuromorphic architectures including encoding schemes, training/learning approaches, and physical
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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Duke University, Physics Position ID: Duke-Physics-POSDOCAK [#31363, 51201439] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and are willing to work in a