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We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration
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will conduct research with farmers, vets and other stakeholders via focus groups, interviews and document analysis, which will involve some on-farm data collection. The candidate will also work
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environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how molecular structure, charge, and surface
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and calves. The applicant will also be responsible for the delivery of the analysis of precision livestock technology data and epigenomic data and communication of results through scientific
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. The successful candidate will have significant prior experience of power semiconductor packaging and bonding techniques, in silver nano-sintering processes and in testing and analysis of semiconductor packages and
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heat stress, and utilisation of their rice populations that have been established for heat resistance and trait identification and deployment. It will also involve detailed analysis of several candidate
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. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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(LLMs) in financial risk control and digital economy research. The researcher will assess the performance of an AI-based due diligence assistant through both quantitative analysis and field experiments
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. The applicant will play a key role in the day-to-day management of a field trial collecting data on adult dairy cows and calves. The applicant will also be responsible for the delivery of the analysis