490 computational-physics-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
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after the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . How to apply Applications should be submitted via the Physics PhD programme page. In place of a
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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: PhD in ICSA with a start date of 1 September 2026. Applicants should state “Memory
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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inherent in these systems. This research pioneers the fusion of distributed computing and artificial intelligence (AI) to create a resilient, next-generation architecture. The project aims to empower IoT
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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational capabilities (e.g. evidencing a 2:1 or higher in relevant