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computing & systems optimization https://www.upv.es/entidades/SRH/conypi/A1270965.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering
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computer science or a closely related field (e.g., mathematics) The selected candidate is interested in declarative problem solving, combinatorial optimization, knowledge representation, and/or logic
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Optimization: Mathematical Phylogenetics During this project, you will work on fundamental graph-theoretic and algorithmic problems in mathematical phylogenetics. Job description The Discrete Mathematics and
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material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-RESEARCHSCIENTISTAIDATASCIENCESANDAPPLIE [#27280] Position Title: Position Location: Oak Ridge, Tennessee 37831
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Engineering » Simulation engineering Engineering » Mechanical engineering Engineering » Computer engineering Engineering » Industrial engineering Mathematics » Applied mathematics Mathematics » Computational
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research