230 cloud-computing-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating cellular and molecular interactions
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote
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About the Role You will drive the development of optical instrumentation that will accelerate the way printed perovskite photovoltaics are analysed and developed. You will design, build, and validate an automated system for in-situ and high‑throughput characterisation. Your work will enable...
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental