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communities. 3) Probabilistic Modeling Toward Strong AI: We are seeking candidates whose expertise is grounded in a sophisticated understanding of how probabilistic modeling plays a crucial role in knowledge
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on fundamental analysis of PDEs, regularity theory of elliptic and parabolic PDEs, with special emphasis on the regularity of finite boundary points and the point at ∞, its measure-theoretical, probabilistic and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
to approximate expensive forward and adjoint simulations while preserving underlying physics. Uncertainty-aware inference: combining physics-informed learning for regularization with probabilistic generative
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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: Experience with probabilistic graphical models, time series analysis, or deep learning Familiarity with reproducible research practices and open-source collaboration Interest in interdisciplinary applications
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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-integrated monitoring and diagnostics from electrical signatures, physics-informed and probabilistic learning methods for robust adaptation across varying mission profiles, and experimental validation on state
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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. Project description and tasks The successful applicant will study problems in extremal and probabilistic combinatorics, as part of Dr. Maryam Sharifzadeh’s project Induced saturation problems