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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model
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specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about
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undertaking field, and laboratory postharvest storage trials. You will have proven experience in analytical technologies (i.e. HPLC, LC/MS) and data analysis (Genstat, R, or other machine learning tools) and
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analysis (Genstat, R, or other machine learning tools) and interpretation. Spanish language skills are desirable but not essential. Additional Requirements are willingness and ability to travel, as the role