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composite materials and structures with an interest in advanced experimental approaches for thermomechanical manufacturing processes while having and affinity to supporting numerical methods. In particular
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
literature research and empirical studies combining qualitative methods and perspectives from political economy. The position requires enthusiasm for engagement with current computational infrastructures
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specialisations: Public Management, Management of HR and Change, and Labor Organisation and Management. We also conduct research on the topics mentioned above, using a variety of research methods, from qualitative
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key aim is to create and evaluate a method for teleoperation of a single robot and a swarm of robots through human-machine interfaces where a shared control system arbitrates the authority over
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. Demonstrated experience of using qualitative research methods and a willingness to develop expertise in further methodological work. Awareness of and/or expertise in the United Nations’ peace operations Country
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are required. This necessitates re-invention of processes that are in use since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis
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understanding of vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across
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techniques and metrics to assess system cyber posture and resilience throughout system development and operational lifecycles; Developing techniques for context-aware conciliation of software component
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methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop prototype fishing systems that integrate detection and
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more