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Field
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the Photonic Integrated Circuit based Systems (PICSys) group. You will work in a state-of-the-art environment for advanced optical and digital signal processing, and integrated photonics, with access to one
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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application! We are now looking for a curious and driven Postdoc in Education with a specialisation in Digital Humanities who is interested in working with unique historical material and contributing to new
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 11 days ago
taxes) Selection process Please include the following information in your application: CV with list of publications (indicate the date of your PhD defence) letter of motivation letter of recommendation if
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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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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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(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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 11 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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on patented nanoporous materials. Rux are at an exciting point in scaling their manufacturing processes, and in order to achieve a cost-competitive product this process must be optimised. Automation plays a