262 algorithm-development-"LIST"-"Meta"-"Washington-University-in-St" positions in United States
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Architecture Advanced Software Design Patterns Advanced Software Development Life Cycle Advanced Software Engineering Authority Unit Testing Advanced *The core technical skills listed are most essential
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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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program balances technical proficiency with essential soft skills necessary for professional success. The program consists of three concentrations: Generative AI, Product Development, and Technology in
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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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listed below are limited availability positions. Please note that only students currently enrolled at Taubman College are eligible to apply to become a graduate student instructor (GSI) at Taubman College
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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