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complex, multi-objective optimization problem. It involves searching over materials, geometries and fabrication parameters to balance competing objectives such as coherence time, anharmonicity and
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interests of the faculty include the fields of algebra, analysis, applied mathematics, combinatorics, and geometry/topology. The department offers an energetic mathematician to work in a small, friendly
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postdoctoral position under the introduction of Kathlén Kohn . The position focuses on research in the intersection of algebraic geometry and deep learning or computer vision. The position is financed by Kathlén
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/discharging periods, and overall efficiency. Furthermore, these simulations seek to maximize the installed power and heat transfer coefficients, namely by: (T2.1) designing optimal geometry of HX piping
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cooling in vaccine transportation using Rotating Magnetocaloric Effect”, contributing to the optimization of magnetocaloric regenerator geometries by Finite Element simulation of magnetic refrigeration
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of Iowa is soliciting applications for a Postdoctoral Research Scholar position in Geometry and Topology. This position is full time 12-month appointment that is renewable up to 3 years, starting
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pursue cutting-edge research in the basic science and practically relevant applications of geometry, probability, and computing to the design of democratic mechanisms, including redistricting and
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. This bench will enable: characterization of the physics of complex liquid jets produced by these nozzles, in relation to fluid viscosity, nozzle geometry, and spray conditions; collection of multi-scale
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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experimentally. Quantum magnets are simple quantum-mechanical model systems realised in real materials. They typically consist of networks of electronic spins arranged in well-defined geometries, such as chains