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well as an ability to demonstrate proficiency in the use of statistical programming languages. You will also demonstrate an ability to organise and prioritise work efficiently whilst delivering results to the required
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person at 1 St Giles, Oxford, OX1 3JS on Thursday 10 July 2025. Committed to equality and valuing diversity
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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. The syllabus area covered may include Classical languages and linguistics dependent on a candidate’s skill set. The Astrophoria Foundation Year is a one-year fully-funded foundation programme for UK state school
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
for the formation of model membranes e.g. LB/LS deposition, RSE, etc. We Offer A friendly and respectful English-speaking working environment. Flexible working hours. Access to a world-class laboratory with state
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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, and experience analysing large volumes of immunological data from multiple assays is also essential. You will be proficient with the programming language R, or a related programming language such as
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets