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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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system SCHISM. Key words: numerical modelling, numerical methods, nature-based solutions, saltmarsh, coral reefs. Employer and hosting lab description In a higher education and research landscape that has
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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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or numerical methods for solid-state physics or theoretical chemistry. We also expect experience in programming, motivation and independence in solving scientific problems. The candidates have to conform
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling
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, provide instruction, or plan/deliver seminars relating to the research area. A background (demonstrated by publications) is expected in exploring high Reynolds number fluid flows using numerical methods
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, based on observational datasets, reanalysis products, and numerical models. 3. Development and evaluation of efficient observation methods for the atmosphere and ocean surface. * Assigned department
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel