554 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
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: For the full advertisement, including details on the project, eligibility and how to apply, please visit: https://www.iwm.org.uk/research/doctoral-awards Candidate requirements: Applicants should ideally have
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD Neuroscience. Please select ‘funding
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the 36 months immediately before the recruitment date. PhD Enrolment Requirement: The selected candidate must be eligible to enroll in the doctoral program at King’s College London. What We Offer: 36-month
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Accurate eyewitness identification is critical
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programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods, writing for publication, thesis
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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website for more details about our research: https://lewisgroup.org.uk How to apply For informal enquiries, email Jamie at j.e.m.lewis@bham.ac.uk including a copy of your CV. Please apply through
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through a One Welfare and human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate