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Field
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: Strong background in communication theory, signal processing, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical
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research with digital humanities, the project analyzes nearly 180,000 documents of official correspondence from the period 1640–1822 using advanced natural language processing techniques. This approach makes
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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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surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute
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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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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 28 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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tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
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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