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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
probability theory and a great interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree in physics
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, UF, NF) to protect systems against harsh regional challenges, including harmful algal blooms. Experimental and theoretical investigations of mass transport, compaction, and energy efficiency will be
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set by the CNRS scale and commensurate with experience. A PhD in cosmology, astrophysics, or theoretical physics is required by the start date. The start date is October 1st- 2026. Application Procedure
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(IF-USP) in Brazil, led by Prof. Gabriel Menezes and Prof. Eduardo Casali, invites applications for a post-doctoral research position in Theoretical High-Energy Physics. This research project aims
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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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: 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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competencies and experience: Aa a formal qualification, you must hold a PhD degree in medicinal chemistry or organic chemistry awarded maximum four years before the application deadline. A strong theoretical and
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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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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