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of machine learning and advanced molecular dynamics techniques for molecular simulations and to study Nucleic acids structures and their interactions. For more information, please visit https://nyuad.nyu.edu
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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Project: The successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling
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crystallography, specifically in the structure solution and refinement of small molecule crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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Project: The successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling
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the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling, geotechnical laboratory testing, and complementary numerical simulations to improve understanding
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to) study design, data collection, data analysis, manuscript preparation. Candidates must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be