448 programming-language-"St"-"St"-"FEMTO-ST" positions at University of Oxford in United Kingdom
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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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, 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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. 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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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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Teaching Fellow in Italian (6-month maternity cover) Location Faculty of Medieval & Modern Languages, Schwarzman Centre for the Humanities, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2
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scientific or numerate subject and have technical competency, including the ability to use a progamming language. You will also have excellent written and verbal communication skills with strong reasoning and
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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
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forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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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