7 postdoc-distributed-algorithms Fellowship research jobs at Carnegie Mellon University
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high-potential research within the excellence-driven environment of CMU. Offering benefits beyond 'traditional' postdoc roles, Fellows are provided with the resources, flexibility, and environment
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high-potential research within the excellence-driven environment of CMU. Offering benefits beyond ‘traditional’ postdoc roles, Fellows are provided with the resources, flexibility, and environment
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of advancing algorithmic foundations in robotics. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Participate/assist in manuscript writing for publication in scientific
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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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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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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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. Offering benefits beyond ‘traditional’ postdoc roles, Fellows are provided with the resources, flexibility, and environment to address “grand challenge” style problems in line with their research vision