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Mathjobs.org | 25 days ago
learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods
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learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods
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methods for increasingly large and complex systems of coupled nonlinear delay-differential equations (DDEs). Models range from arrays of single-mode semiconductor lasers described by Lang–Kobayashi-type
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use a variety of mathematical and computational approaches-including optimal transport, gradient flows, partial and ordinary differential equations (PDEs/ODEs), and cell-based simulations-to develop
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, Partial Differential Equations, Functional Analysis, Mathematical Physics, Algebraic Topology, Algebraic Geometry and Algebraic Number Theory, Combinatorics and Algorithms, Category Theory, Logic and its
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of Partial Differential Equations. The opening is for academic year 2027-2028. We are interested in candidates who will contribute to mentoring through teaching, research, and service. The initial
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Position Description The Department of Mathematics invites applications for a senior faculty position in Complex Geometry and Partial Differential Equations at the rank of Asscociate Professor or
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Position Description Why join us? The School of Mathematics and Statistics at Wuhan University boasts strong domestic research teams in areas including Analysis and Partial Differential Equations
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partial differential equations • Participation in interdisciplinary cooperation projects and third-party funded projects, in particular the SFB MR-DYNAMO • Independent teaching of courses in the field
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modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model