19 programming-"https:"-"https:"-"https:"-"IRIBHM-ULB" PhD research jobs in United Kingdom
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while expanding your technical, analytical and leadership capabilities. Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted
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inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban communities by implementing transformative nature
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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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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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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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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technology development. Why become a KTP Associate? The KTP programme is designed to accelerate your career, expand your skills, and grow your professional network. You will have the opportunity to: Work on a
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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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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