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computational models Demonstrated experience designing a new product with simulation Strong mathematical background in PDEs Expertise in adaptive meshing methods Salary and Benefits Compensation for this role is
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PDEs, or statistics Interest in interdisciplinary research efforts Experience with mentoring undergraduate student research About Mines & Golden, CO When the world looks for answers, the world looks
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
of scientific machine learning with PDEs, optimal transport or optimization. Our Scientific Computing, Machine Learning and PDE research group (SciMAP https://www.sfu.ca/math/research/scimap.html ) has
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savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu
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and Kähler geometry, differential topology, geometric evolutions, geometric PDEs, and applications of differential geometry to physics. Candidates should hold a PhD and have an outstanding record
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 2 months ago
to industrial relevant test cases. Become autonomous with regards to the CODA software development process by developing and integrating a RANS turbulent wall law. [M1-M6] Thorough literature review of PDE based
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. We expect you to have a good recent publication record in international journals, experience of the modelling of optical communication systems and nonlinear PDEs, experience of developing new digital
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trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
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discovering research and potentially pursuing a PhD. Expected skills • Solid background in numerical methods (PDEs, finite elements, scientific computing). • Interest in modeling, model order reduction, and
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(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python