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Field
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PhD studentship invites applications from candidates with a strong grounding in war studies to undertake research that will contribute primarily to the centre’s Research Strand 2 (Understanding Slavery
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mapping technologies. This PhD would particularly suit candidates with backgrounds in: Artificial intelligence or machine learning Computer science Data science or computational modelling Engineering
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after deployment, leveraging recent advances in physical reservoir computing, contrastive learning, and biological decision-making paradigms. You will: - Develop and apply decentralized learning
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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development, and is delivered in collaboration with a range of collaborators throughout the energy storage sector. The successful candidate will join Cohort 9 of the Faraday Institution PhD Training Programme
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Qualification Type: PhD Funding amount: Refer to advert Discipline: Engineering & Technology Materials Science Other Engineering Physical & Environmental Sciences A fully funded PhD studentship is
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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, applied physics, or a closely related subject. You should enjoy building things and be prepared to work across mechanics, materials and electronics. Experience with microfabrication, finite element analysis
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Supervisor(s): Prof. Chaoying Wan, Prof. Steven Brown (Physics department) Stipend: UK or international Duration: 3.5 year Funding Eligibility: UK or international Start Date: 1st November 2026
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8 Sep 2026 Job Information Organisation/Company Newcastle University Department Biosciences institute Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions PhD