200 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Award at the University of Sheffield. Imagine being able to check that a powerful quantum computer has performed a calculation correctly without having to repeat the computation or learn the private data
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undertaking this project will gain expertise in computer vision, machine learning, and human-centred applications of artificial intelligence, while also developing skills in interdisciplinary research
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chemistry, machine learning, movement ecology, RF-engineering, electronics etc). Main duties and responsibilities Devise, develop and test fabrication approaches for the construction of microbatteries in a
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3D embryo images (published and those generated in the Strawbridge Lab). to quantify cell numbers and lineages. A semi-automated pipeline using deep-learning-based segmentation (Cellpose-SAM), machine
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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data acquisition. • Computational techniques, including machine learning and statistical inference. • Collaborative research at the interface of mathematics, biology, and physics. Why us? The
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physical systems. You will explore how the dynamic behaviour of nanomagnetic devices can be used to realise these KAN functions directly in hardware. Working with a combination of modelling, machine learning
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developing a computational model that simulates blood flow for ICH patients. The research will exploit a powerful new approach — physics- informed neural networks (PINNs) — that combines machine learning with
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering
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photonic quantum computers with cloud access. QuiX Quantum is building Europe’s first universal photonic quantum computer using silicon nitride photonic chips for scalable operation. In the US, PsiQuantum is