264 computing-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LIMERICK" Postdoctoral positions in United Kingdom
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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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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is focused of molecular inorganic chemistry, and the successful candidate will contribute to our current programme of investigations focused primarily on mechanistic studies of photoredox catalysis
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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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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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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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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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental