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Field
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intelligence, and architectural design. The research will explore two primary domains: Embodied Intelligence – Integrating AI into architectural systems through topics such as distributed sensor fusion
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Bachelor’s degree (2.1 or above) and/or Master (if your BSc degree classification is 2.2) in Physics or related subjects. relevant experience depending on the project e. g. working with laboratory physical
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to have a proactive attitude towards independent problem-solving and strong written and verbal communication skills. To apply, please contact the main supervisor, Dr Rwayda Alhamd - rwayda.alhamd
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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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Risk’s behavioural-finance expertise and gain exposure to real-world investor profiling and decision-making research. Supervisory Team Primary Supervisor: Dr Konstantinos Georgalos Secondary Supervisor: Dr
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a closely related discipline* Research Assistant: A first/masters degree (or equivalent) in atmospheric science or physics, civil and environmental or aerospace engineering, or a closely related
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for improving animal husbandry, welfare and conservation How to apply Dr Charlotte Brassey (c.brassey@mmu.ac.uk ) will lead the project as your Principal Supervisor. You are encouraged to apply
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temperature interaction is not fully understood. This information is important as it can be used to inform new product formulations. Therefore, the aim of this Master of Research is to gain a fundamental
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relevant discipline, preferably at master's level - in exceptional circumstances a 2:1 degree can be considered. Funding Explore funding opportunities for postgraduate researchers. Eligibility and how
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Principal supervisors: Dr Thomas Bestwick-Stevenson (School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk Professor Kimberley Edwards (School of Medicine, Professor