324 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Carnegie Mellon University
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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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We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis. The successful candidate will investigate new algorithms and models for analyzing
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AI for robust, secure, scalable, and human-centered mission capabilities · prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI
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AI for robust, secure, scalable, and human-centered mission capabilities · prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI
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neuroscience, physics, or related fields is required. Minimum 1-3 years of experience in Monte Carlo simulations. Strong programming skills in Python. Proficiency with Monte Carlo algorithms, reaction-diffusion
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for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Developing mathematical models and optimization algorithms for problems arising in ship and vehicle
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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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operationalizing AI for human-centered, robust, secure, and scalable mission capabilities Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
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well as develop and deliver advanced training. This is an excellent opportunity if you thrive on the opportunity for collaboration with complementary groups across PSC, particularly Computational Biology, User