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of research activity, which remains the property of Duke University upon termination Adherence to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the
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years) Contract:TV-L Your Tasks Contribute to use cases for novel diagnostic tools and develop and implement mathematical and computational models (microsimulation, agent-based, state-transition
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language models Experience in artificial intelligence to develop
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Learning, quantum computing, QKD - quantum key distribution, entanglement distribution System-level design and optimization AI & Intelligence: Agentic AI, Edge AI, information semantics, e.g. for earth
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following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI. Proficiency in Python and PyTorch Responsibilities Research Conduct independent and collaborative research in
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standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's
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, OpenDSS, Machine Learning based emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization
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therapeutic agents, as well as the identification and study of suitable biomolecular and cellular targets for therapy and diagnostics. The division is also connected to the Karolinska ATMP Center. Our research
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of effective tutoring moves that support student motivation, engagement, and learning. Design and evaluation of AI tutoring agents leveraging high-quality tutoring data (e.g., training tutors directly on