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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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numbers via inexpensive microfluidic techniques. While the mechanism of these drops’ motion is well-known, controlling their trajectory is often challenging. There exist some experimental proofs-of-concept
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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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Overview Dr. Raza Ali and Prof James Brenton wish to recruit a student to work on the project entitled: Systems pathology of the breast tumour microenvironment in obesity. This is a unique
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Swamped: Is Crassula helmsii a significant threat to wetland biodiversity? DoS: Professor David Bilton (d.bilton@plymouth.ac.uk) 2nd Supervisor: Dr Rob Puschendorf 3rd Supervisor: Dr Pete Cotton
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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of £24,000 p.a. for 4 years Applications
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About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making relies on accurate models
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case study, supporting local action, and generalising and sharing findings for the benefit of other regions. The focus will be on data collection, processing, analysis and visualisation and systems
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Morphing is a ubiquitous feature in nature: from the growth of plants to embryos evolution to wing adaptation in birds, shape-change is a fundamental aspect of the biological matter itself. What
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Primary supervisor - Dr Edwin Ren Autonomous Aerial Systems (AASs), commonly known as drones or UAV, are rapidly advancing in capability, enabling them to perform a wide range of urban tasks such as