290 Computer-Science-"https:" "https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
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be about to obtain, a relevant PhD in Electrical and Electronic Engineering/Computer Science (or related discipline) Good hardware / FPGA design skills. Good understanding of CPU architectures Relevant
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: Have, or be about to obtain, a relevant MSc in Electrical and Electronic Engineering/Computer Science (or related discipline). Good hardware / FPGA design skills. Good understanding of CPU architectures
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application should clearly demonstrate that you meet the following essential criteria: 1. Hold a 2:1 Honours degree in Electrical and Electronic Engineering, Computer Science, Mathematics or other related
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, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network and Team Currently, our research
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, the Laboratory for Molecular Cell Biology, the Sainsbury Wellcome Centre for Neurocircuits and Behaviour and the Gatsby Computational Neuroscience Unit. In addition it is home to a specialist teaching facility
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(STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan/ The College of Medical, Veterinary and Life Sciences (MVLS) brings staff together across eight Schools around thematic
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relevant MSc in Electrical and Electronic Engineering/Computer Science (or related discipline). Good hardware / software design skills. Good understanding of CPU architectures. Good understanding
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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building practical technology demonstrations of the fabricated silicon. This position is embedded within a long-standing research programme on vision sensors and neuromorphic computing circuits in
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating