71 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Newcastle University
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PhD studentship: Adaptive Logic-Based Machine Learning Grids Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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PhD studentship in Machine Learning-Based MIMO Radar Sensing for All-Weather Perception in Autonomous Vehicles Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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· Select ‘PhD Marine Science (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8315F Research Area: Marine Science Select ‘PhD Marine Science (full time) as the programme of
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opportunity to network and work directly with them as part of you PhD programme. Number of awards: 1 Start date: September 2026 Award duration: 3.5 years Sponsor: ESRC JUST Supervisors The core supervision team