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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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Areas: All fields of mathematics, theoretical physics, computer science, and their applications Appl Deadline: (posted 2025/10/23 05:00 AM UnitedKingdomTime, listed until 2026/10/29 03:59 AM
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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: Astronomy / Theoretical Physics / Astrophysics, Cosmology, Gravitational waves, Particle physics (theoretical and experimental) Physics / Astroparticle Physics, Astrophysics (astro-ph), Astrophysics Theory
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, United States of America [map ] Subject Area: Astronomy / Theoretical Physics / Astrophysics, Cosmology, Gravitational waves, Particle physics (theoretical and experimental) Physics / Astroparticle Physics, Astrophysics
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Information Eligibility criteria Knowledge Requirements: The candidate (M/F) must have a strong background in advanced quantum mechanics, with a PhD in theoretical physics. A solid understanding of quantum
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position in Theoretical Particle Physics, funded by the ANR P2S2 project. The position is available initially for a fixed-term duration of 2 years, with the possibility of extension for 1 further year. The
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qualifications Expertise in theoretical neuroscience Excellent writing and communication skills Strong publication record in peer reviewed journals PhD in neuroscience, computer science, physics, electrical
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Ecole Polytechnique, Center for Theoretical Physics (CPHT) Position ID: Ecole Polytechnique-Center for Theoretical Physics (CPHT)-CMPOSTDOC [#31494] Position Title: Position Type: Postdoctoral
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or equivalent Skills/Qualifications · Advanced Academic Background: A PhD in Mathematics, Statistics, Physics, or a related quantitative field with a strong emphasis on probability theory. · Programming