15 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Exeter
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. This PhD project aims to develop efficient, reasoning-enhanced Vision–Language Models tailored to multimodal medical data. The main aim is to investigate how explicit clinical reasoning can be embedded
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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Fully-funded PhD Studentship – Next-Generation Integrated Opto-Electronic Devices for Switching, Computing, and Sensing We are offering a fully-funded PhD studentship in the field of photonics and
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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operational efficiency and sustainability in remanufacturing contexts This funded PhD studentship is open to highly motivated candidates with a strong background in Engineering or a closely related discipline
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this fully funded PhD studentship in Physics. We’re looking for a student who has a passion for science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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this goal, we will combine new datasets, a deeper process-understanding, sophisticated models and improved experimental design. As part of CLARiTy, this PhD will focus improving the representation of tropical
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying