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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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Operator Algebras, Nonlinear Functional Analysis, Topology and Geometry, algebra, etc. l applied mathematics, including Partial Differential Equations, Dynamical Systems, Combinatorics and Graph Theory
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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on advanced nonlinear optics and ultrafast laser techniques. The experimental work will be carried out on a table-top HHG beamline, producing XUV pulses with durations in the tens-of-femtoseconds range
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manufacturing teams to develop solutions that optimize performance while ensuring manufacturability Summarize key findings for technical and non-technical audiences Build code: Integrate simulation models with
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for representing a large class of nonlinear systems by a structure close to the linear case or defined by a set of linear submodels [Bernal, 2023, Lendek, 2010]. This representation facilitates the performance
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Special Instructions to Applicants To apply, the applicants should go to https://uta.peopleadmin.com/postings/32859 and submit the following materials: Required Documents: Curriculum Vitae Full CV and
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National Institutes of Natural Sciences, National Institute for Physiological Sciences | Japan | 2 months ago
of brain and neural functions. We achieve this by developing novel super-resolution microscopy and related systems, leveraging advanced optical and laser technologies. [Work content and job description
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, optimization, or inverse modeling Familiarity with wearable or implantable systems for diagnostic or therapeutic use Background in multimodal sensing integration combining acoustic, optical, or mechanical