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mental illness (SMI). This role will utilise big data and genetics to understand the shared biology and causal mechanisms linking SMI and metabolic disorders. This MRC funded post is available from the 1
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complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. They will also have experience of managing large national or international projects and
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. Responsibilities: Conducting research on the development and application of machine learning algorithms and computer vision techniques to large-scale multimodal datasets from social media platforms. Collaborate with
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will carry out bioinformatics analysis of zebrafish sample. The post will include bioinformatics data analysis of DNA methylation sequencing data obtained from zebrafish brain to identify signatures
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. They will be advocates of open and reproducible science. Experience analysing large genomic datasets (e.g. single-cell RNA-seq, single-cell ATAC-seq and epigenomic data) and statistical genetics (e.g
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to contribute to large collaborative codebases, manage numerical simulations using high performance computing architectures, and interpret and process large amounts of model data. General knowledge of atmospheric
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, data science, agricultural economics or science, ecological, climate or other natural science. We are keen to hire researchers that want to join forces with an interdisciplinary team to develop
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patients with disorders of insulin secretion. They will analyse this data to identify novel genetic causes of disease, with a particular focus on copy number variants – large deletions or duplications of DNA
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Research Centre that works with Large Established Organizations (LEOs) to understand barriers to productivity improvements through digital transformation using responsible and sustainable approaches
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from candidates with strong programming, spatial modelling, data analysis and data visualisation skills and a wide transdisciplinary focus to support the work of the LEEP modelling team (Prof. Ian