564 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" PhD scholarships in United Kingdom
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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, physics, applied mathematics, data science, computer science, food science, microbiology or related fields. Funding This studentship is open to both Home and Overseas fee status students, however we are
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s
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of selectively targeting sarcomas. This would allow for selective delivery of the drug to the tumour, increase drug specificity and reduce unwanted off-target effects. In this project we plan to progress this work
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual performance degradations and unwarranted system failures can occur. There is certain physical...
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Cardiovascular disease remains the leading cause of death worldwide, highlighting the urgent need for rapid, cost-effective, and accurate diagnostic tools. Current methods for detecting cardiac biomarkers such as troponins, BNP, and CRP are often slow, expensive, and reliant on centralised...
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python