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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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with industry expertise. Organize workshops, mentor “Office Hours,” and other events to prepare student teams for the Challenge. Oversee the student prototype funding process when it returns from
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given to candidates with PhD or who are ABD Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00pm (CST
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-to-date taxonomic expertise and exposure to innovative and automated image processing and morphometric techniques, as well as fossil identification involving Artificial Intelligence. A pilot study will be
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for this position. More About This Job Preferred Qualifications: Familiar with genomics assays and their computational pipelines, image processing (segmentation, spot calling, drift correction). Exceptional
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Development Fund (FDCT). Academic staff of IME will be allocated to the Department of Electrical and Computer Engineering, Faculty of Science and Technology (FST-ECE) as home unit. Academic staff can conduct
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, the student will apply drone imaging, AI analytics, and simulation tools to support more sustainable and circular agriculture. They will collaborate with farmers, engineers, and policy experts to create
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Job Purpose To make a leading contribution to an exciting new UKRI funded project to develop ‘Ultrasound-Guided Activation and Imaging of Engineered Bacteria for Stroma Reprogramming’, working with