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use including increasing urbanisation are driving factors in biodiversity decline worldwide. While digital technologies are changing our cities through networked sensing, AI and cloud computing in what
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(Enrolment open from mid-September) Supervisors: Dr Saptarsi Ghosh Prof David Ritchie Dr Dan Lamb Aligned programme of study: PhD in Electronic and Electrical Engineering OR PhD in Materials Engineering Mode
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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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programme will be delivered through a mixture of tutorials, workshops, web-based training resources, networking events and peer-led activities. This will equip fellows with unique considerations
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). Students who have already started their study programme are not eligible. Please note that fees for international applicants (i.e., the difference between UK Home and International tuition fees) will not be
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knowledge. Throughout the PhD, they will also have the opportunity to engage in networking and events with Tate and the wider network of museums, galleries and heritage organisations affiliated with the AHRC
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To meet global Net Zero targets, we must urgently transform the chemical industry to adopt green, sustainable methods to reduce their environmental impact. This three-year PhD project will develop
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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies