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: Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory Nuclear Theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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for deviations from SM expectations. This effort requires a global analysis of the LHC data to fully exploit the information it provides about physics at the TeV scale and beyond and thus maximise the LHC physics
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 other faculty and staff working on our
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the Netherlands and the UK in the 1980s and 1990s. To do so, you will delve into both personal and movement archives, you will engage with existing theories of queer of colour cultural practices (e.g., Ferguson
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computational condensed matter physics. We seek a motivated researcher with expertise in density functional theory (DFT) to study emergent phenomena in quantum materials. Research Areas - Correlated electronic
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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knowledge of statistical and computational research methods (e.g., predictive/user modeling), cognition/affect tracking, measurement theory, analyzing high-frequency time series data, experience with
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Intelligence or similar field/ related discipline obtained no more than five years prior to the application date*; 2) proven research experience in the field of artificial intelligence theory (e.g
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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computational datasets of disordered materials based on density functional theory calculations and training machine learning models to accelerate the predictions. This work will involve collaboration with Assoc