414 computer-"https:"-"https:"-"https:"-"https:"-"Mines-Paris-PSL" PhD positions in United Kingdom
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Electronic Engineering, Computer Sciences or equivalent. Experience in communications and networking, AI, or robotics is desirable but not
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre
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of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
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Resilience (WIRe). The WIRe programme offers a bespoke training programme in technical and personal skills, access to world-leading experimental facilities. The successful candidate will also have the
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computational protein design to develop new biocatalytic methods for asymmetric synthesis. This collaborative project will leverage the pyridoxal phosphate (PLP)-dependent enzyme UstD, previously developed
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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) at the Rutherford Appleton Laboratory (RAL) in Didcot. This is an exceptional opportunity to work at the interface of artificial intelligence, computational imaging, and life sciences, supported by the Ada Lovelace