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Field
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Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include, but are not
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learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition. Advance AI-assisted image interpretation, including atomic structure recognition, defect
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awareness, information seeking, etc. Demonstrated experience in using machine learning, including for image processing. Demonstrated software engineering/development abilities, and the use of tools
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication