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Ludwig-Maximilians-Universität München, Quantum Information Theory Position ID: Ludwig-Maximilians-Universität München-Quantum Information Theory-POSTDOC [#31782] Position Title: Position Type
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the long twentieth century (1890s-2020s). The project team will explore the historical engagements, collaborations and frictions between conservation theories and practices and international, global, and
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
out research work on problems of statistical estimation with the support of information theory. This research involves a literature review, mathematical analysis, and numerical simulations, as
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, Hlavni mesto Praha 186 75, Czechia [map ] Subject Area: Number Theory Appl Deadline: 2026/02/11 04:59 AM (posted 2025/12/07 05:00 AM, listed until 2026/02/15 04:59 AM) Position Description: Position
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), the Trieste Observatory and INFN. HECAP members are currently working on: String theory including D-branes, Black Holes, Gauge/string theory duality, Phenomenological String theory/M-theory; Particle
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About the Role The successful candidate will work alongside the Co-Investigotor of “Unlearning Excited Delirium: Acute Behavioural Disturbance (ABD), Race, Mental Health, and Policing”. The role
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[map ] Subject Areas: Physics / High Energy Theory , Particle Theory , Cosmology , Particle Physics , Quantum Information Science , Quantum Computing , Mathematical Physics , astrophysics , Quantum
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About the Role The successful candidate will work alongside the Co-Investigator of “Unlearning Excited Delirium: Acute Behavioural Disturbance (ABD), Race, Mental Health, and Policing”. The role
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved