51 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at UNIVERSITY OF SOUTHAMPTON
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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. There are opportunities to teach on courses run at the University and with partner charities and organisations, as well as be involved in audit and service development within USAIS. You will also have a key role in the
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Zamora-Gutierrez (https://www.southampton.ac.uk/people/65cf7s/doctor-veronica-zamora-gutierrez ). The position is fixed for 36 months (3 years). The postholder will lead research on bat ecology and the
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education taking place in the Faculty of Medicine can be found on the Faculty of Medicine website at https://www.southampton.ac.uk/about/faculties-schools-departments/faculty-of-medicine This teaching fellow
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and independently Please note that unfortunately we can not accept Certificate of Sponsorship (COS) for Casual Work at the University of Southampton. Where to apply Website https
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including key benefits designed to help maintain and support employees' well-being and work-life balance, please see our working with us website pages. Where to apply Website https
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laboratory. For further details, please contact Dr. Chaitanya Paruchuri at c.c.paruchuri@soton.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408002/research-fellow-in
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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, learned societies, and industry clients associated with Ingenium Biometric Laboratories. The successful candidate will receive a comprehensive induction at both IBL and UoS and will have access to staff
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climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques