329 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials
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Quantum Dot Sensors for Next-Generation Optical Sensing Applications (S3.5-ELE-Hobbs)
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis)
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Combining Experimental and Computational Biophysics to Understand the 'On/Off' Switches of Cellular Machines (C3.5-MPS-Ciani)
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Computational photochemistry/Vibrational control in transition metal complexes
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Adaptive Learning in Brain-Robot Interactions
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An Information Theoretic Approach to the Smart Grid
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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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Artificial intelligence and machine learning methods for model discovery in the social sciences