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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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relevant activities. managing the project-related website. supporting the organisation of a conference and related seminar series and the collation and recording of data and information gathered through
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Analyse and interpret clinical and research data Apply clinical and academic knowledge to generate new intellectual understanding Disseminate findings through publications, conferences, and seminars Support
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Drakeley and Dr Julius Hafalla, primarily focused on immunoepidemiology, as needed. The post holder will be responsible for the generation and curation of laboratory and epidemiological data from different
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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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the analysis of several forms of data (including interview data, documentary material, and secondary literature) to answer the project’s key research questions, and leading on co-authored publications (and other
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research teams across Southampton and partner institutions. Data collection will involve travel throughout Southampton. About you Applications will be considered from candidates who are working towards
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sports clubs. About You Hold a PhD/DPhil or be close to completion by the advertised closing date for these posts A keen interest in this specific area of research Ability to analyse data and philosophical
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/DPhil or be close to completion by the advertised closing date for these posts A keen interest in this specific area of research Ability to analyse data and philosophical literature Be able to manage own