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Field
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Educational NLP with Multi-Agent and Multimodal LLMs for Inclusive and Collaborative Learning School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zheng Yuan
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/or image processing? We are looking for a correlative imaging scientist to develop, innovate, and support in-situ structural biology workflows working across the Cheney Biomedical Accelerator and
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deeper into large tissues The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets You will have a
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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samples at particular timepoints (specifically Drosophila) that may require collection, processing and imaging outside normal working hours, and limited access to specialised equipment such as microscopes
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data processing will be an advantage. The opportunity to continue
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particularly interested in quantifying the net energetics of the gas-phase reactions and the pressure rise behind the resultant shock front to correlate to fundamental exothermic decomposition processes. We
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to be based around non-vibratory haptic feedback. The proposed solutions will be fabricated, tested and iteratively developed, leading to a final working prototype. In this role you will be developing