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cours). Note: Federal law enforcement officers/agents, corrections officers, jailers, game wardens, military police officers, special or reserve officers/deputies, or any other such positions which fall
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learning that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of learning algorithms; possibly the study of their theoretical
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thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio-technical systems. You will design and investigate methods
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at obtaining further academic qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra
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) and agentic AI in Industrial Internet of Things (IIoT) and operational technology (OT) environments. Modern OT installations—such as factories, utilities, transport, and pipelines—are highly networked
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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in subjects directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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of ultrasound. Evidence is growing that ultrasound, in combination with injectable bloodpool agents, has a therapeutic effect on tumours and tissue. However, the current ultrasound probes are not up
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studies using a laboratory pilot plant consisting of a perfectly stirred reactor, - Analysis by gas chromatography coupled with a mass spectrometer - simulations of combustion experiments - writing articles