37 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD research jobs in United Kingdom
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) programme. The post holder will work closely with Professor Ronita Bardhan and contribute to a high-impact, interdisciplinary research programme focused on advancing evidence-based urban design for population
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Europe Grant for Culture, creativity and inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban
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with our industrial and UK university partners, a novel research programme will be implemented based on modelling, control and optimisation of an integrated power and transportation networks. Key
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are ideally looking for a candidate who has either already been awarded their PhD, or who is in their final year of a PhD programme, and would be set to submit their thesis prior to starting the role. In
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Knowledge, Skills and Behaviours Demonstrable experience in quantitative or computational modelling Strong programming skills (e.g. R, MatLab, or similar) Ability to develop and analyse mathematical
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clot contraction, blood flow, and thrombus stability across biological scales. Research Programme Description ThromboRisk – European Doctoral Network From cells to systems: Pioneering multi-level
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Strong research background in fluid dynamics and/or magnetohydrodynamics Excellent programming and numerical skills (in addition to core IT skills) Proven ability to analyse data and write-up results
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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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, Git, and/or Object-Oriented Programming Attributes and Behaviour Commitment to working positively as a member of a research team Ability to communicate work to a range of audiences, including
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including