61 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at Carnegie Mellon University
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Responsibilities: Assist in research and development of computer vision-based tools and prototypes. Implement and test algorithms using OpenCV and related libraries. Design and iterate on intuitive and efficient
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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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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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Theoretic algorithms of defense, and how those can/should be modified to account for human attacker’s biases. To accomplish this goal, we study attacker’s behavior and create cognitive computational models
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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clinical trial examining responses to alcohol consumption and the development of alcohol use disorder (AUD). This position is ideal for individuals interested in gaining additional research experience before
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, responsible, and professional research assistant needed to assist in all aspects of a large, federally-funded, longitudinal clinical trial examining responses to alcohol consumption and the development
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in the development and execution of research to characterize technoeconomic aspects of EV battery recycling pathways across li-ion chemistries. Responsibilities: Conduct research to characterize
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of binary and ternary CSAFs using tools developed at CMU. These CSAF samples will be used by our collaborators at UPPA conducting experiments in which model microbes are adsorbed onto the CSAF surfaces and