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while ensuring strict adherence to trial protocols, ethical standards, and regulatory requirements. A core component of the role will be to work with retrospective data from participants living with
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, we have proven local (lung) efficacy via systemic administration of our tool compounds. The project will provide data to allow comparisons between chemical scaffolds (involve synthesis of novel
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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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and how this may be improved. This will include participant recruitment through various means, data acquisition (primarily through individual semi-structured interviews), data analysis, and working with
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further information about our Department, please visit our website . About the role The postdoctoral position will be an integrative part of an exciting ERC project dedicated to biosynthesize and
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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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developed new food applications to impact blood glucose control, collected big data through citizen science to understand individual responses to food, pioneered the low FODMAP diet as a treatment for IBS
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, clinical, imaging, and general population data in a multidisciplinary research environment. The postholder will work under the supervision of PI Prof Mitul Mehta (KCL) and Co-I Amir Englund (KCL), and also
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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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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data