Molecular, Cellular and Physiological Sciences Early-Career Advisory Group
This advisory group shortlists candidates for Wellcome Early-Career Awards.
This advisory group shortlists candidates for Wellcome Early-Career Awards.
This includes remits from four of our discovery advisory groups:
This committee covers applications that aim to deliver a mechanistic understanding of biological processes or machines at an atomic or molecular level.
Examples include:
- structure or function studies of biological macromolecules
- application of physical and chemical approaches to the understanding of biological processes or machines at the atomic or molecular level
- regulation of gene expression and protein function
- genome organisation, integrity and stability.
Its remit covers applications that aim to deliver a mechanistic or functional understanding of biological processes and architecture at a cellular, tissue or organism level.
Examples include:
- how cells function or interact with their environment
- how organisms develop, including neurodevelopment
- stem cell biology and regenerative biology
- functional processes at the cellular, tissue or organism level
- dysregulation of cellular behaviour and pathobiology of disease, including cancer.
Its remit covers applications on fundamental aspects of genetics in human health and disease, including the development of new analytical and computational approaches to genetics and genomics.
Examples include:
- genetic and genomic variation in human health and disease
- genetic epidemiology and mechanisms of human evolution
- comparative and functional genomics
- human population genetics
- bioinformatics and biostatistics
- computational and systems biology.
Its remit covers applications that aim to develop tools and technologies (physical or data), that have the potential to benefit health related discovery research to improve our understanding of health and disease. Proposals can be stand-alone and do not need to address their own specific biological question.
Examples include:
- machine learning and artificial intelligence methods
- statistical, and informatics techniques
- novel data collection methods and analytical techniques
- novel technologies and tools or substantially enhancing/improving existing technologies or tools (excludes maintenance of existing resources, where this is the primary purpose).
We will publish membership details in the autumn.