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-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel algorithms for: Fine-grained video understanding Concept learning Temporal
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generation of expressive digital musical instruments. You will design, develop, and evaluate algorithms for detecting tactile interactions with objects and mechanisms using high-fidelity hand-worn motion
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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aligned with the aims of the Terascale project. Develop and apply suitable methodologies for research for AI for science and catalyst discovery. Design, implement, and evaluate novel models, algorithms
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industrial partners, funded to promote the development of novel AI methods and to transform the uptake of AI in the chemistry community. Working in the Cooper Group on the EPSRC Centre-to-Centre grant
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successful candidate will contribute to the EU projects (with funding support from Innovate UK and UKRI), which aim to develop wireless communication optimisation algorithms for digital healthcare applications
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experience in electrical drives and motor control, ideally including: · Development of advanced control algorithms for electrical machines and drive systems. · Real-time implementation of control systems
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing proposals