117 engineering-computation-"https:" "https:" "https:" "https:" "https:" PhD scholarships in United Kingdom
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available for 3-years to work with Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie Curie
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, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research
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, you will need to contact the project supervisor to discuss. Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select PROGRAMME on the Programme Choice page. You will be
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PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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, stimulating neuronal function with opto- and thermo-genetics in vivo, recording and analysing fruit-fly behaviour, aided by computational data analyses tools. Visit: https://more.bham.ac.uk/hidalgo/ Funding
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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Faculty of Health, Science and Technology 3 Year, full-time PhD studentship Eligibility: Home UK/EU and International applicants Bursary p.a: The stipend is at the UKRI rate (currently £20,780
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
such a promising technology, the centralised and resource-intensive nature of current LLMs conflicts with the constraints of aerial 6G networks in terms of limited computation, energy, and communication
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emerging treatments for people living with multiple long-term conditions. This project will utilise the SAIL Databank’s (https://saildatabank.com/ ) rich anonymised population-scale, individual-level, linked