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implementing multi-agent AI tools that: Assess and provide feedback on venture-related submissions Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26957 Mathematical Modeller (PhD/Postdoc) – Diagnostics for respiratory infections (m/f/d) PhD
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agents may present a potential hazard. Syringes, needles, and medications are potentially dangerous and must be used with care. Work involving animals in various disease states may expose the individual
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of various species for examination. Exposure to anesthetic agents may present a potential hazard. Syringes, needles, and medications are potentially dangerous and must be used with care. Persons allergic
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functionalities for autonomous driving, as well as an immersive, multi-agent urban simulation platform for validating autonomous driving algorithms, pedestrian–autonomous/manual vehicle interaction, and human
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alongside a physician provider. The Advanced Practice Provider will also participate in multi-disciplinary treatment planning and coordination of care with stereotactic functional neurosurgery, movement
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agents or study interventions, as appropriate. Demonstrates expertise in participant assessment related to oncology (and related diseases) and treatment as evidenced by documentation and observation
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buses with staff ID card For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . Purpose The IP Specialist
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modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in