43 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of Surrey
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As part of an exciting and ambitious digital transformation strategy, the University of Surrey is currently seeking an Azure Integration Developer to join our team, responsible for developing and
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Communication Systems. This exciting opportunity will see the successful candidate undertake a range of Research and Development (R&D) activities in the field of Signal Processing for Future Communication Systems
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reducing odours from pomace and digestate. The project comprises seven work packages. As a leading partner, the University of Surrey will develop a system digital twin (SDT) to enhance overall sustainability
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a team who are committed to inclusion, antiracism and exploring the needs of under-served communities. There are multiple opportunities for ongoing professional development, including applicants being
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and research. This is a busy and varied role, key in facilitating partnerships across multiple dimensions of international engagement, such as providing qualitative insights and data analysis
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have developed some of the most remarkable morphological systems on the planet, where simultaneous manipulation of multiple phonological features (vowel length, vowel height, tone, phonation type
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tethered to an autonomous ground vehicle. Multiple vehicles operating together will create high resolution maps of emissions and airflow, at unprecedented spatial resolutions. The project will be carried out
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are recruiting at multiple academic levels: Professor Associate Professor (Reader) Senior Lecturer Lecturer This is a unique opportunity to join a collaborative and forward-thinking School and play a key role in
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appointments where necessary to ensure they are receiving relevant and timely support Keeping accurate records across multiple IT systems Communicating with other departments and support services Overseeing
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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for