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learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key challenges in
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, their deficits and their rescue in genetic mouse models. This project is part of a cross-species, cross-institute collaboration that combines animal research, human neuroimaging of schizophrenia patients, and
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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and related disorders, working with Prof. Darren Monckton. Prof Monckton’s team use human genetic analyses of patient cohorts, and analysis of cell and animal models to define the role of somatic
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and attributes for success: Have a PhD in a relevant subject area (or near completion). Experience of 3D organoid culture (mouse and human advantageous) and advanced organoid manipulation technologies
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-leads the Oral and Craniofacial Network within the Human Cell Atlas (https://www.humancellatlas.org/biological-networks/ ). Embedded in an exciting environment at QMUL, you'll have access to state
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, organisational management, human behaviour, or empirical ethics together with relevant experience. You will provide evidence of fully developed skills in document review, scoping reviews or systematic reviews. You
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally
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in Guy’s campus. This project aims to investigate the mechanisms through which interneuron connectivity develops in the human cerebral cortex. This project will be supervised by Prof Beatriz Rico
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the non-coding genome can impact gene regulatory mechanisms, alter developmental processes and ultimately affect human craniofacial shape and function in health and disease. In this project, we