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Position Description The group of Ze Long Liu at the Institute of High Energy Physics (IHEP) of Chinese Academy of Sciences (CAS) invites applications for a postdoctoral position in theoretical
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strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information theory, physics of quantum materials – to develop new design principles for scalable
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theoretical particle physics, nuclear physics and technology, particle astrophysics and cosmology, quantum computing, technologies associated with particle detectors, accelerators, synchrotron light sources and
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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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Experience1 - 4 Additional Information Eligibility criteria PhD in theoretical physics, quantum physics, or a related field. Proven experience in hybrid quantum systems, optomechanics, magnonics, or quantum
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 16 hours ago
Job Offer from September 30, 2026 The Max-Planck-Institute for Physics is engaged in fundamental research in particle and astroparticle physics from both experimental and theoretical perspectives
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theoretical and numerical models to describe, understand and exploit the physical phenomena associated with these dynamic interfaces. The successful candidate will work at the interface between theoretical
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. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely related field) with significant post-qualification research experience. You will experience
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of theoretical high energy physics, including astroparticle physics, cosmology, particle phenomenology, and quantum field theory. The base salary range for this position is $5705–$6000 per month, commensurate with
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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical