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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 2 months ago
interpret data on homicide and serious violence? Can analytical or computational methods identify patterns of escalation to inform prevention strategies? The project will adopt a mixed-methods design
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Coupled Plasma) torch design for high enthalpy thermal plasma flow. Developing/Validating computational models for a dual stage plasma torch. You should hold a PhD (or equivalent experience) in Plasma
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appropriate To provide support in research activities for undergraduate courses and research programmes and provide guidance to other members of staff within the research team • To maintain and update area
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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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, Chemical Engineering, Materials Science, Computational Engineering, or a related field. Prior knowledge, experience and achievements in multi-physics and CFD modelling of Electric Arc Furnace processes
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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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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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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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results with electrochemical kinetics analysis and computational insights for mechanistic interpretation of LiNRR and beyond-Li NRR. Collaborate with the project partners and support their research
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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...