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we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also
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academic qualifications. An example can be found here . A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place
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engineering Engineering » Electrical engineering Computer science » Computer hardware Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 27 Feb
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of the award. These payments are set at a level determined by the UKRI, currently £20,780 for the academic year 2025/26 (applied pro-rata for part-time study, if applicable). Specific requirements
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equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently
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to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and
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proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal
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will receive a standard stipend payment for the duration of the award. These payments are set at a level determined by the UKRI, currently £20,780 for the academic year 2025/26. Specific requirements
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degree and/or relevant previous experience with one or more of: brain imaging (e.g., MRI, EEG, MEG) and/or brain stimulation (e.g., TMS, tACS, TIS). The PhDs would start in October 2025 and are fully
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more