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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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. 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
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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Innovation for Agriculture (https://www.i4agri.org/ ). The successful candidate will conduct research with farmers, vets and other stakeholders via focus groups, interviews and document analysis, which will
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diagnostics, a strong publication record, interdisciplinary collaboration, and data analysis expertise—particularly in diagnostic test accuracy. Prior success in securing external research funding and
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(e.g. spectroscopy or biophotonics) for medical diagnostics, a strong publication record, interdisciplinary collaboration, and data analysis expertise—particularly in diagnostic test accuracy. Prior
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. The successful candidate should have extensive experience in mammalian cell tissue culture, high-throughput BRET / FRET assays, the analysis and visualisation of concentration-dependent and kinetic data, as