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enquiries, please contact Dr Melissa Gammons (mg2128@cam.ac.uk ) To apply online for this vacancy and to view further information about the role, please click 'Apply' above. Please ensure that you upload a
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equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following
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(depending on the preference of the interviewee). Most interviews are likely to be by telephone or virtual but travel around the UK may be needed. Prepare data by liaising with the School transcription service
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that provides timely and effective support to real-life policy processes. The successful candidate will become part of an interdisciplinary team and support the development of data and model assets which are used
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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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stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven methods for load identification and
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile
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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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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