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Field
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of industry and healthcare partners, a rare opportunity to develop a highly sought-after interdisciplinary skill set that is in demand across both academia and industry. Training and Student Development
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Join an exciting research journey at the intersection of advanced materials, electronics, and textile engineering. This PhD project will explore smart structural design, manufacturing and
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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Student Development The successful applicant will gain expertise in: Biophysical imaging (AFM, microscopy) Microbiology and molecular biology RNA sequencing and data analysis Interdisciplinary collaboration
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novel materials design, data science, and the clinical management of TLS. You will develop expertise in electrochemical biosensor design and development, progressing the technology toward clinical
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on projects, internships, and placements Generous support for entrepreneurship and start-up development Diverse future career paths in Research & Academia; Industry & Technology; Consulting & Strategy; Data
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information about the CDT programme, please visit the CDT website at www.fusion-engineering-cdt.ac.uk or send an email to hello@fusion-engineering-cdt.ac.uk . Candidate requirements: Due to the nature
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during continuous shearing, which impacts wind turbine foundations, underground pipelines, pharmaceutical manufacture, among others. Sand is the most ubiquitous engineering material on earth, yet research
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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