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closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python
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with strong expertise in an area of applied mathematics, including partial differential equations, control theory, dynamical systems, optimization, numerical analysis, scientific computing or the
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: Singularities, topology of singular spaces, applications to optimization. * Sebastien Roch: Discrete probability, applications in bioinformatics and networks. * Jose Israel Rodriguez: Applied and numerical
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working on developing experimental and numerical methods for wind turbine aerodynamics. The particular areas of responsibilities include: High and low-fidelity modelling of wind turbine airfoil and
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applications to scientific computing. Topics of interest include Hamiltonian simulation, open quantum system dynamics, quantum state preparation, and quantum algorithms for optimization and sampling
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metamaterial concepts for Megahertz frequencies Conduct numerical simulations of sound fields at the unit cell and device level Optimize geometries that enable impedance matching, waveguiding & wave
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Job Description We are seeking a highly motivated Postdoc to contribute to our research activities on the development, optimization, and integration of large-scale heat pumps for industrial processes
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, optimization, computational mechanics, and data-driven modeling of physical systems. Develop data-efficient computational methods for constructing predictive models from combinations of high-fidelity simulation
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simulations, numerical optimization and computational design. Experience with modular and collaborative scientific software design and with existing accelerator related software packages, for example
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OSU | about 1 month ago
process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and