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organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
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skills in running large scale NLP models (e.g. BERT, GPT) for financial text analysis. The candidate shall have strong research skills of using LLM-based models for firms financial Information summary
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research. You will be responsible for designing and implementing proteomic data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic
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Candidates are required to undertake two secondments abroad, one academic and one non-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska
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-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska-Curie Actions Doctoral Networks in general, please refer to: Doctoral Networks - Marie
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are planned for 24 and 25 February 2026 via MS Teams. To apply online for this vacancy and to view further information about the role, please click 'Apply' above. Informal queries may be directed to hrsupport
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are planned for 23 February 2026 via MS Teams. To apply online for this vacancy and to view further information about the role, please click 'Apply' above. Informal queries may be directed to hrsupport
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experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research