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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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assays and techniques and establishing and managing mouse models of both breast cancer, glioma and other tumour types. This position offers an opportunity for open and collaborative engagement with other
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pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility
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and wellbeing programme and an evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. The post-holder
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent