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to advance understanding of the brain basis and common genetic architecture underlying infant and childhood neurodevelopment, with a particular focus on the development of autism spectrum conditions
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advantageous. You will be highly organised, maintain detailed records, and be proficient in standard chemical software (e.g. ChemDraw, Reaxys, MNova, MS Office). You will be competent at communicating complex
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The appointee will join the Software Defined EVs, AV Fleets and Infrastructure Laboratory at the School of Engineering at the University of Surrey, which has research interests in a wide range of topics
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frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines Experimental systems development, e.g., integrating
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commercial electromagnetics software. Good knowledge of the main standard channel models (e.g., 3GPP, IEEE) Strong research and analytical (mathematical) skills. Proven track record of innovation supported by
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for complex electromagnetic scattering scenarios, and the use of full-wave commercial electromagnetics software. Good knowledge of the main standard channel models (e.g., 3GPP, IEEE) Strong research and
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creative disciplines Strong programming skills, Python frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines