25 algorithm-development-"LIST"-"Meta"-"Washington-University-in-St" positions at Carnegie Mellon University
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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
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at the intersection of computation and life sciences. We are seeking a Research Associate. The position will perform statistical modeling of single-cell multiome data; development of algorithms to link enhancers with
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at the intersection of computation and life sciences. We are seeking a Research Associate. The position will assist in the development and execution of research projects including experiment design, analysis of data
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Carnegie Mellon University’s Robotics Institute is searching for a Research Programmer to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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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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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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at the intersection of machine learning and game theory. The RA will assist in developing and analyzing algorithmic models of strategic behavior, incentive design, and decision-making under uncertainty. Core
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at the intersection of machine learning and game theory. The RA will assist in developing and analyzing algorithmic models of strategic behavior, incentive design, and decision-making under uncertainty. Core
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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