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questions in human disease and health. Our work focuses on Alzheimer’s disease, cancer, and heart disease, which could have a major impact in identifying real-world big data-driven diagnostic biomarkers and
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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, economics, geography, psychology, computer science or related field and some experience with environmental data and large data sets. Due to requirements of the funding source, must be a U.S. Citizen or U.S
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking to appoint a full-time Research Fellow to work on the IN-CYPHER Programme. IN-CYPHER is Imperial Global Singapore’s inaugural
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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable
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(data aggregation and processing, database management, analysis, and visualisation). Operating within Unix-based environments (headless servers, HPC clusters), with a preference for experience managing