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Field
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development of generative AI agents for VR-based social simulations Support the implementation and tuning of NLP models for personality-tailored interactions Contribute to the integration of AI agents with
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of the setting (e.g., private practice, academic, or hospital-based dental environments). Strong preference will be given to candidates with certifications in infection control or sterilization (e.g., DANB’s ICE
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expertise in Large Language Models (LLMs), Agentic Systems, as well as strong interdisciplinary teamwork skills and communication skills. About the Stanford NLP Group: Stanford NLP Group focuses on basic
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relationships with publishers, agents, organizations, and other potential external partners for event programming and off-campus venue opportunities that are in alignment with the mission of the College. Performs
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University of Warsaw, Interdisciplinary Centre for Mathematical and Computational Modelling Position ID: 3607 -RESEARCHASSISTANTPROFESSOR [#26740] Position Title: Position Type: Postdoctoral
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machine learning, agent-based modelling and multi-criteria decision analysis. Excellent scientific writing, team work, organisational skills and communication skills with a range of stakeholders are
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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execution of scenarios by integrating automated agents perturbing or helping trainees during their exercises. All together, this will enable a large diversity in exercises but will also improve the end-user
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agent-based modeling or another relevant computational approach for the simulation of managed retreat. We look for a candidate in sustainability or environmental social sciences or a related field who