Sort by
Refine Your Search
-
investigates the molecular and cellular mechanisms underpinning muscle biology, in the context of health and disease. His labs interests have begun to explore the analysis of multi-molecule data sets
-
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
-
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
-
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
-
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
-
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
-
, 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
-
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
-
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
-
digital research information infrastructures in the practices of research evaluation and their governance. The project the Research Associate will work for pursues the following core research question: How