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severity assessments. Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system. Carry out
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with analyzing multi-omics data
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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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to inquiries from students and agents about general questions relating to university admissions process Collaborate with various campus departments including admissions office and International Gateways
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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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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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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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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