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facilities (reflectance point and imaging spectroscopy, FTIR, environmental analog chambers, etc.), support for external users of the lab through PRECISE, and science investigations utilizing the lab along
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and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and synchronization
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science with experience in several of the following areas: designing and building experimental apparatuses, free space and fiber optics, precision interferometry, quantum optics, analog and digital
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. This eligibility requirement must be met no later than the time the employment decision is made A strong background in RF/microwave engineering, analog/RFIC design, and/or MMIC design is required
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, remote object ranging and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and
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(XPCS) that is analogous to dynamic light scattering using X-rays. XPCS allows studying motions in several disordered systems ranging from complex fluids, colloids, vesicles, proteins to glasses. The high
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topics: Waveform design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 14 days ago
digital, analog, mixed-signal, and radio-frequency electronics. Alternatively, if a candidate has a background in physical electronics, experience with modeling and characterization of printed devices is
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Eligibility criteria - Strong experience in organic chemistry, preferably in heterocyclic chemistry or nitrogenous base analogs. - Proficiency in molecular characterization techniques (NMR, MS, HPLC, UV/Vis
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include