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applications from candidates in Computer Science and Engineering, with a focus on a broad range of research specializations, including: Trustworthy AI and machine learning and its societal impacts Cybersecurity
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recommendations to non-technical audiences effectively. 5. Continuous Learning and Expertise Development: o Stay updated on state and federal Medicaid policy changes, trends, and innovations, especially those
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with particular attention to its practical and interdisciplinary dimensions List of 2-4 courses the applicant is prepared to teach that would support I-GMAP's academic programs. Applicants are encouraged
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-to-system solutions to prepare and submit your application to Grants.gov and track your application in eRA Commons. Learn more . Table of Contents Part 1. Overview Information Part 2. Full Text
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-robot collaboration, human behavior modeling, human-robot communication, learning and cognition, planning and re-planning, management of trust and its effects on collaboration, and forensics for human
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Position Requirements Applicants
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, or machine learning is also appreciated. PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and