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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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an advantage Extensive knowledge and experience in digital signal processing Know-how of and experience with using machine learning methods for measurement data processing and evaluation is an
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it), Machine learning Genoa Center, Italy. Context and Post-doc objectives Conventional optical microscopy
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(postdoc) Limited until: 30.04.2032 Reference no.: 5022 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4984 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around
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statements Up to three scientific contributions (not required) Three letters of reference Application materials, including the letters of reference, are due February 3, 2026 at 3:00 pm ET. Learn more and apply
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basic science to its effective translation for preventing or alleviating disease. Candidates for this joint appointment should have research interests focused in computational immunology/AI/Machine