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Field
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, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant response and pollination experiments. Contribute to modelling activities through experimental design input
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multimodal generative AI for music/audio. Check out some of our recent projects here: https://dorienherremans.com/biblio (including work on models like Mustango, SonicMaster and other generative systems
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, artist-run centres, artists’ books, performance art, video art and experimental film, sound art etc.). The collections also include a significant amount of audio and audio-visual documentation
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within a Research Infrastructure? No Offer Description About the project You will join an interdisciplinary project delivered through a collaboration between the Institute of Sound and Vibration Research
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of RF Sensing and Anomaly Detection as per 1st Aug. 2026, or as soon as
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through a collaboration between the Institute of Sound and Vibration Research, the School of Biological Sciences, and Mechanical Engineering at the University of Southampton.The project will deliver
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Edge AI Implementation for RF Sensing and Anomaly Detection as per
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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to design these agents and AI techniques to analyze text entries (and text entries obtained from the audio) obtained from human-agent and human-human interactions to construct the domain models and