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requirements A PhD degree in physics, materials, or electrical science and engineering Solid and proven understanding of ultrasound wave physics, transducers, signal processing, and basic electronics Advanced
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month 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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to the global mental-health burden, and your work will directly inform the development of personalized, adaptive digital interventions. You will be embedded in ongoing research programs led by Dr. Jonas Everaert
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wireless communications, RF signal processing, and/or applied machine learning Strong background in digital communications and RF signal processing, ideally with experience in SATCOM, NTNs, or space-borne
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process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the offer that is of interest
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
, thermal-mechanical stress analysis, Rf/Microwave load-pull, monolithic-microwave IC design, analog-digital hybrid IC design, chip-bonding and packaging physics and chemistry processes, etc. Point of Contact
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
security coverage From 2788 € gross/month Selection process Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2025-09574 Work Location(s) Number of offers available1Company
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(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
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(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
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have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access