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systems under stress. It offers an extensive complexity science course package for doctoral students. This doctoral position presents a unique opportunity to join a cohort of other doctoral researchers in
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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complexity of organic matter to elucidate pathways underlying the anaerobic transformation of macro and micropollutants and to develop strategies for enhancing their degradation in AD systems. Among
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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is needed that addresses large and complex issues and develops new analytical tools. It is against this background that the WIFORCE Research School, within the Wallenberg Initiatives in Forest Research
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control