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support across a wide range of PhD and externally funded research projects including a large Horizon Europe project on the impacts of climate change on pathogen evolution and ecology in coastal environments
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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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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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. 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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team of exceptional scientists and educators to conduct world-leading research aimed at tackling the big challenges facing the mental health and wellbeing in society and educate the next generation of
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-author articles for publication in highly ranked journals. Applicants are likely to have a PhD in a relevant Engineering Design, or Computer science background and/or research within data-driven design
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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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. 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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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