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Field
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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Job
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Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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, Life, Disability & AD&D insurance; a defined benefit pension plan; paid leaves such as Vacation, Holiday and Sick; tuition waivers for employees and dependents. Click for a complete list of Employee
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analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software development tools
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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. Experience integrating software solutions with campus enterprise systems or similar multi-system environments. Hands-on experience with developing tools, algorithms, and techniques for reporting, data analysis
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necessary. Applicants who are interested in DA research and development should have a strong background in using DA systems (such as GSI or JEDI) and a strong understanding of the data sets and algorithms