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Join the M-WAVE team to develop a forward operator for land data assimilation. Job description Challenge: Understanding the climatic drivers of crop failure, monitoring crop growth and implementing
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
and experimental, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure
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dual-resonator (dual-rail) erasure-flag qubits in collaboration with D-Wave New Haven (formerly Quantum Circuits, Inc. of New Haven). We also lead PRACTIQAL, an NSF Quantum Leap Challenge Institute
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to turbulence, shock wave boundary layer interactions in the supersonic and hypersonic regimes. The Aerodynamics laboratories are equipped with state of the art wind tunnels with a large low-speed (low-turbulence
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for the study of critical aerodynamic phenomena such as flow separation, transition to turbulence, shock wave boundary layer interactions in the supersonic and hypersonic regimes. The Aerodynamics laboratories
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experimental facilities to search for a new kind of very lightweight elementary particles, works on new concepts targeting high-frequency gravitational waves and develops related technologies.Postdoctoral
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comparable knowledge is demonstrated may be considered. Required Expertise: Candidates should have experience in: Modeling and design of MEMS resonators and acoustic wave devices Finite Element Analysis (FEA
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support the mission of the university through their work. Qualifications: PhD required Knowledge of ultrasonic waves and piezoelectrics FEM simulations of PZTs and acoustic wave propagation Ultrasonic
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coherence tomography concepts Basic knowledge of ultrasonic instrumentation and piezoelectrics FEM simulations of PZTs and acoustic wave propagation CAD to design device layouts Packaging of ultrasonic
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure interactions. Applicants must hold a Ph.D. in Mechanical Engineering or a closely related discipline, with