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previously unprecedented precision. The post holder must have a solid understanding of MRI principles and developmental neuroscience, with demonstrable experience in the analysis of neonatal or infant MRI data
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metabolomics, targeted MS, or biofluid analysis. You will be offered a full time contract (35 hours per week) and will be offered a fixed term contract until 31/12/27. About You To be successful in this role, we
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. Desirable criteria Expertise in targeted metabolomics Expertise in targeted mass spectrometry Expertise in biofluid analysis Downloading a copy of our Job Description Full details of the role and the skills
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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to have the following skills and experience: Essential criteria First degree and PhD in a relevant discipline such as pharmacy, medicine, drug delivery, pharmaceutical analysis A sound (theoretical and
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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analysis. We particularly value conversation between scholars of different periods and places, with different approaches. We also value our connections beyond the world of scholarship, with strong
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well as response to treatments. The role also provides the opportunity to gain experience in data acquisition and analysis as part of the launch of the £11 million UKRI funded Clinical Research Centre, which houses
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-year project Computational Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics (COALA), successfully evaluated by the ERC as a Consolidator Grant and funded by UKRI, led by Dr Barbara