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dispersive partial differential equations. More specifically, they will work on the study of dark solitons for the logarithmic Gross–Pitaevskii equation. This research, led by Guillaume Ferriere, will be
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differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory
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strong experience in the analysis of partial differential equations. The research topic of the postdoc will be on issues of long time dynamics and singularity formation, for waves, fluids, or reaction
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Okinawa Institute of Science and Technology, Analysis and Partial Differential Equations Unit Position ID: 3260-POSTDOC [#26877] Position Title: Position Type: Postdoctoral Position Location: Onna
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 22 days ago
have at least two published papers in applied mathematics to biology with methods from ordinary and partial differential equations, graph theory, dynamical systems and/or probability and statistics. He
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mathematical statistics and probability theory. Further knowledge of modern techniques in analysis and partial differential equations (PDEs) will strengthen any application, but is not strictly necessary
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for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization