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Field
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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, including genomic, transcriptomic, epigenomic, proteomic, metabolomic, and circulating biomarker data derived from patient tissues and liquid biopsies. Our goal is to characterize the molecular processes
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electrophysiology calcium imaging confocal and fluorescence microscopy immunohistochemistry and quantitative image analysis molecular cloning and viral vector design stereotaxic surgery and viral delivery primary
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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relevant experience (or information embedded in email). Curriculum vitae. Contact information for three references. The Department of Mechanical Engineering at the University of Michigan invites applications
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Are At Michigan Engineering, we develop the talent and technologies that move society forward and serve our state and national interests. Through discovery and innovation, we create the foundational knowledge and