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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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stakeholders in real-time. Such a system would provide information based on the state of the system as well as the needs and competences of the user. PhDs will join in the MADE REACT project, working with
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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reflections on the normative dimensions of the role of researchers engaged in innovation processes. RESINNREG candidates will learn how to act as change agents in processes of regional development through
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the Department of Chemistry at the University of Iowa is searching for one or two postdoctoral research scientists to investigate two different projects: Project 1: Effect of a Change Agent in Doctoral Education
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human analysts and counter huge increases in data volumes. Improved synthetic training utilising machine-based instructors, matched to individual training needs. Improved “Virtual Assistants” for the next