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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 11 hours 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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 18 hours ago
1) a valid EAD card and 2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email npp@orau.org Qualifications Prior research experience in planetary science
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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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through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international
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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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simulators; electrical/electronics background with specialization in neural networks/mixed/analog signals and research papers demonstrating expertise in any of the above areas. Salary: $90k - $120k + stock
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. The selected candidate will work at the forefront of technology, exploring heterogeneous integration of various sensing technologies with CMOS and methodologies to enable future electronic systems. Job Duties
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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this position, an ideal candidate should have: Completed a relevant PhD degree in Electrical Engineering, Computer Engineering, or any other related field relevant to the research; Good understanding of analog