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for distribution electric propulsion. Who we are looking for We are looking for enthusiastic, self-motivated applicants with first-class degree in Electrical Engineering, Aerospace Engineering or Computer Science
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 8 days ago
technologies tailored to CCUS needs. Accurate knowledge of CO2 streams density is vital across the CCUS chain, impacting engineering design, pipeline safety, reservoir management, and financial settlements
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applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Programme’ as ‘Chemical Engineering’. Please quote the advertised reference number ‘CG-BB-2507’ in your application
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We are looking for a motivated and curious PhD student with a background in computational biology, bioinformatics, or genomics to join our research team. This exciting project, funded by
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Computer Science PhD Scholarships PhD scholarships are available in the Computer Science CDT, with some attached to specific projects. Eligibility: Home and international fee paying students
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Entry requirements Essential Educated with an undergraduate honours’ degree (or equivalent qualification) in Computer Science/Engineering or in a relevant subject area. Significant experience in graphic
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System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and...
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A PhD studentship in RF and Microwave Engineering is available within the Birmingham Emerging Device Technology (EDT) Research Lab, one of the leading interdisciplinary research groups within
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex