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working with human date and experience analysing large-scale omics datasets (e.g., proteomics, transcriptomics, genomics, metabolomics, or related high-dimensional biological data) are desirable
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in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop, optimise, and
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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A Research Associate post is available at Lancaster to work on the upgrade of the ATLAS experiment at the CERN Large Hadron Collider. The post will focus on computing and software upgrade program of
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relevant PhD/DPhil in socio-legal studies, political science, sociology, human rights, or a related field together with relevant experience; experience in managing large-scale data collection projects and
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demonstrable experience in the analysis of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene
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., 2021), originally developed for French, to other languages. This will involve working with large-scale naturalistic language corpora (e.g. CHILDES) and adapting and refining the model to make it more
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://www.earth.ox.ac.uk/people/bernie-wood/ . The experimental group is large and active and in addition to research duties the post holder will provide guidance to less experienced members of the research group, including