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Field
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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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and Engineering is an upper second-class honours degree (or international equivalent) in a discipline directly relevant to the PhD OR any upper-second class honours degree (or international equivalent
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-benefit infrastructure solutions to support long-term water security. Funded by School of Engineering, Newcastle University , this PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT
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, direct engagement with engineers and potential routes into post-PhD research roles. Why apply? This project gives you the chance to: Work with cutting-edge multimodal foundation models Develop scalable AI
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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The Crop Innovation Centre - Skills, Technology and Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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Criteria: A 1st or 2:1 undergraduate (BEng, BSc, MEng) and/or postgraduate masters’ qualification (MSc) in a science and technology field such as Metallurgy, Chemical Engineering, ceramics, Materials Science
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must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational
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science, or engineering. The ideal candidate will have a strong interest in hands-on experimental research and be keen to operate sophisticated instrumentation involving mechanical, electronic, and vacuum