504 cloud-computing-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Shape the Future of Finance Research Join a globally recognised programme designed to equip you with the expertise, skills, and confidence to excel in cutting-edge research in finance. As part of
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Shape the Future of Accounting Research Join a globally recognised programme that provides the expertise, skills, and confidence to excel in pioneering accounting research. As part of Henley
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select Programme Design or Creative Arts (select the programme your research falls under). Please quote the advertised reference number IDA26 in your application. To avoid delays in processing your
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, please select Loughborough and select Programme Design or Creative Arts (select the programme your research falls under). Please quote the advertised reference number SRP-26 in your application. To avoid
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be made online . Under programme name, select * Mechanical and Manufacturing Engineering’* Please quote the advertised reference number: * FP-LJ-MTC/26* in your application. Applications must include a
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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Description: Human-wildlife conflict is widespread, yet current monitoring systems aiming at their reduction remain costly, vulnerable, and difficult to scale. This project will focus on computational and
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sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply You must
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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods