534 computer-programmer-"https:"-"IDAEA-CSIC"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
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You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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pressure to reduce both energy demand and chemical consumption. Project SandSCAPE, an Ofwat-funded programme, tackles this challenge by integrating purpose-built robots that skim slow sand filter beds while
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much encouraged and should be directed to Dr Catarina Rendeiro (c.rendeiro@bham.ac.uk ) To apply, click the 'Apply' button above. Apply to programme 0355 PhD Sport & Exercise FT and select ‘Dr Catarina
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Sponsor/ Supporting Company: WMG – affiliated with Faraday Institution Eligibility: 2:1 or equivalent undergraduate in STEM (Masters Degree desirable) Start Date: Oct 2026 – intake The Battery Materials & Cells (BMAC) group at WMG, University of Warwick are looking for a well-qualified PhD on...
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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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October 2026 start ONLY For January and April starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme at
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
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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