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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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qualifications Must have a PhD in thermal science and engineering, or related field, and experience in the thermometry and modeling. Must have strong written and verbal communication skills. Preferred
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GNC architectures. Strong analytical thinking and problem-solving skills applied to complex dynamical systems. Ability to communicate complex technical concepts clearly in publications, presentations
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at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis
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platform Who we are looking for Required qualifications: Applicants must hold a PhD degree awarded no more than three years prior to the application deadline* in: Electrical engineering Engineering physics
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
: Optimizing waveguide geometries and micro-resonator architectures to enhance nonlinear optical conversion efficiency (e.g., via SPDC or SFWM) while maintaining high spectral purity. Dispersion Engineering
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and education in engineering sciences, architecture, mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch