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Field
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-envelope phase/offset, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh
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postdoctoral position will be performed within the thematic group CNM2 of D4 department of ICGM, at the pôle Chimie Balard Recherche.The group has large experience in high pressure field and in synthesis of air
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Position Location: Palaiseau, Ile de France 91128, France [map ] Subject Areas: Physics / Electron Hydrodynamics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational
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applications in energy-efficient computing, thermal management, and energy conversion. We seek candidates with strong expertise in building and conducting ultrafast time-resolved optical experiments. Key skills
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18 Jan 2026 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Health Sciences, Biomedicine Research Field Biological sciences » Biological engineering Computer
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familiarity with high-performance computing (HPC) are required. At the University of Michigan School for Environment and Sustainability (SEAS), we are at the forefront of building a more sustainable and just
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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functional theory (DFT), anharmonic lattice dynamics, machine learning force fields, transport, and high-performance computing (HPC). Position Specific Responsibilities/activities: Perform ab-initio
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research program by performing physics analysis, and in addition, by contributing to the maintenance, operation, performance improvement, and upgrade of one of the sub-detector systems. Qualification
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health