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extinction of learned fear and avoidance’. This multi-disciplinary project will combine in vivo heart rate monitoring and optogenetics with behavioural testing in rats to (1) characterise the relationship
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models Experience with Pytorch, MONAI, CUDA or equivalent software
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the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Your tasks You will apply AI strategies to learn the regulatory syntax encoded by
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into pilot-scale production processes. Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in Material Science, Physics, Chemistry, or a related field. Experience
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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. Essential Criteria PhD in a relevant field (e.g., computational design, software development) or equivalent professional experience or Master’s degree with significant research experience. Strong knowledge