568 embedded-system-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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stakeholders, with an interest for industrial research. Funding This is a self-funded research opportunity. The cost for running the composites manufacturing and testing experiments and facilities cost will be
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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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PhD Studentships for October 2026 start Kingston University is pleased to invite applications for our competitive PhD Studentships. We have established an international reputation for high quality
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interventions. Project aims and objectives The aim of this PhD project is to understand how people balance different movement goals such as stability, energy economy and speed when walking in challenging
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The Rosalind Franklin Institute (The Franklin) is the national institute for technology development for the life sciences in the UK – funded by the government through UK Research and Innovation
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 2 months ago
The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it
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, curious individual to join an exciting PhD. This opportunity is generously funded by John Crane Ltd, a world-renowned engineering technology leader. Why This PhD? Impact Clean Energy's Future: Develop next
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remains under-researched, particularly in areas like rare diseases, neonatal care, and chronic conditions. A major barrier is the lack of AI-ready data due to a lack of electronic health records (EHR) in
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(CHF), tailored to complex geometries typical of fusion reactor cooling systems. Compile a comprehensive dataset of boiling parameters to support machine learning-based analysis of two-phase flow