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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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Socially-Aware AI agent to enhance team training by providing real-time insights and actionable feedback from multimodal data. We envision that humans and agents will work in teams, complementing each other
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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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and fermented fractions; (ii) development and optimization of oleogel formulations using insect-derived oils combined with suitable structuring agents and antioxidants; (iii) evaluation of the stability
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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funding availability. What are the provisions? You will receive a stipend to be determined by MRICD. Stipends are typically based on a participant’s academic standing, discipline, experience, and research
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, project assignment, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by USAMRIID. Stipends are typically based on a participant’s
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experience in presenting scientific work. Preference for candidates with experience in: -Complex networks and systems modelling and simulation. -Discrete dynamical systems (cellular automata, agent-based, etc
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, contingent upon project needs and funding availability. What are the provisions? You will receive a stipend to be determined by MRICD. Stipends are typically based on a participant’s academic standing