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2AZ, United Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: Physics / GR-Cosmology (gr-qc) , Gravitational Waves , hep-th , Particle/Cosmology Theory , Physics Appl Deadline: 2025
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, neutrino decoupling, leptogenesis, dark matter production, …) phenomenology of cosmologically motivated extensions of the Standard Model (collider and non-collider experiments) We kindly ask candidates
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are: - Analytical development of new formalisms in relativistic quantum chemistry - Implementation in the open-source/open-access PySCF platform (Python) - Application to model systems - Supervision of students
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for offshore renewable energy applications. The group specializes in computational modeling of fluid-structure interactions, wave-structure interaction and mooring systems for offshore renewable energies. You
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postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs). The role focuses on designing, validating, and
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of the University. About the IFAE Gravitational Waves group The detection of GWs from a black hole binary merger by LIGO in 2015 started a new era in the exploration of the universe. The addition of the Virgo antenna
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, Physics Beyond the Standard Model , Physics of cold atoms , QCD , Quantum Condensed Matter Theory , Quantum Field Theory , Quantum Gravity , Quantum Information Theory , Quantum information/quantum matter
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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of the University. About the IFAE Gravitational Waves group The detection of GWs from a black hole binary merger by LIGO in 2015 started a new era in the exploration of the universe. The addition of the Virgo antenna
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning