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Field
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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, hierarchical and composable analysis and design is needed. The project will leverage tools from contract-based design theory to formalise such security and performance guarantees at multiple resolutions
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: Berne, Bern 3012, Switzerland [map ] Subject Areas: Physics / Nuclear Physics High Energy Physics / Phenomenology High-Energy Theory / Particle Physics Appl Deadline: (posted 2025/04/02, listed until
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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defiance by centering on visual analysis grounds aspirational urbanism, rescaling the object of urban theory towards everyday micro-practices.
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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University of Eastern Finland Position ID: 3582 -PHD [#26562] Position Title: Position Type: Other Position Location: Joensuu, North Karelia 80101, Finland [map ] Subject Areas: Operator theory
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(or equivalent (120 ECTS points)) in civil or mechanical engineering. Background or strong interest in one or more of the following: Hydrodynamics (wave or coastal) Structural mechanics (nonlinear beam theory
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department comprises over 45 faculty members organised in three research groups: macroeconomics and finance , applied microeconomics , and economic theory and experiments , and two research Centres