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Field
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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-time postdoctoral research positions in Professor Henrik R. Larsson’s theoretical chemistry and computational physics group at the University of California, Merced. Both positions will focus
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at least one of the following areas: sensor-based field or laboratory data collection, driving or traffic simulation, behavior-informed digital twins, machine or deep learning, or computer vision Excellent
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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computationally efficient approaches to progressive damage modelling. It is natural for you to think in terms of hybrid modelling strategies that combine physics-based simulations with machine learning when
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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related discipline. Familiarity with quantum computing and/or digital quantum simulation theory and practice. Familiarity
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 18 hours ago
computational physics, chemistry, and materials science. Research experience involving density functional theory and ML simulations and is Familiarity with software packages such VASP, CP2K, Gaussian, Scikit