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University Assistant Postdoc to to complement the research team around Univ.-Prof. Ulisse Stefanelli, PhD. The focus of our research is on the field of Calculus of variations and partial differential equations
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the field of Calculus of variations and partial differential equations. More information about our research area and about our team can be found on our homepage at: https://appliedmath.univie.ac.at/. As a
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approaches to quantum field theory, stochastic partial differential equations, rigorous approaches to the renormalization group, and related areas will receive special consideration. The IHES scientific
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 14 days ago
Generative Modeling through Stochastic Differential Equations.” ICLR. [4] Pidstrigach, Jakiw. 2022. “Score-Based Generative Models Detect Manifolds.” NeurIPS. [5] Dupuis, Benjamin, Dario Shariatian, Maxime
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of computer codes. Specific Requirements Educational Requirements: Knowledge of mathematical and computational modeling with partial differential equations and the finite element method. Scientific programming
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | 30 minutes ago
learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork skills Point of Contact Mikeala Eligibility
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range of backgrounds from theoretical physics to pure mathematics, with (most likely) a background in (conformal) random geometry or stochastic partial differential equations or free probability
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framework for quantum mechanics. The researcher is expected to make contributions in the fields of functional analysis, complex analysis, spectral theory, and partial-differential equations, but also
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for the subject Read scientific literature on the stability analysis of partial differential equations Expertise in control theory and partial differential equation analysis Demonstrate curiosity and scientific
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EPFL - Ecole polytechnique fédérale de Lausanne, Probability and Partial Differential Equations PROPDE Position ID: EPFLMATHSPROPDE-POSTDOC [#27478] Position Title: Position Type: Postdoctoral