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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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contrast, analysis of systemic risks embraces complex interactions among elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedbacks, and non-linear tipping. The SPHINX research
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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/2018 , of August 16th and the Ministerial Order nr. 33/2019 , of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https
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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
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medical biological defense research. USAMRIID’s mission is to provide leading edge medical capabilities to deter and defend against current and emerging biological agents that threaten both the military and
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of systemic risks embraces complex interactions among elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedbacks, and non-linear tipping. The SPHINX research program aims
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Degree or equivalent Research FieldComputer scienceEducation LevelBachelor Degree or equivalent Skills/Qualifications Experimental testing and performance evaluation Modeling and simulation of distributed
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The focus of the project is artificial intelligence (AI) and its relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively
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Scholarships. Institutional Programs: NSE, Institutional Grants, Institutional Scholarships, private loans, private scholarships, private programs. Acts as a change agent in all matters regarding the improvement