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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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., generative AI, speech/audio signal processing, machine listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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: Strong expertise in signal processing for wireless communication systems, including modulation and coding techniques on the physical layer of a radio, array antennas and their use in multiple input
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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python
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interviews are scheduled for week commencing 23 February. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406518/awe-research-fellow… Requirements
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for wireless communication systems, including modulation and coding techniques on the physical layer of a radio, array antennas and their use in multiple input multiple output (MIMO) wireless connectivity. Very
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. For an informal discussion regarding this post, please contact Prof Sabine Braun, Director of CTS by email (s.braun@surrey.ac.uk ). Further details Job Description Where to apply Website https