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highly motivated PhD candidate to research on the topic of friction mechanisms in single-grain sliding. The challenge Under highly accelerated slip, several physical phenomena contribute to the dynamic
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schedules, shared physical resources and digital healthcare services, and the interdependence of those resources in a patient’s healthcare process, is complex. A planning support tool, incorporating analysis
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or agile approaches. You are confident in qualitative and quantitative research methods, data analysis techniques and inferential statistics. It is an advantage if you are familiar with the process of
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. You have skills in design and automation of future oriented manufacturing processes, machines and process chains - ideally already with background and experiences in the field of sustainable
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of low-grade data center waste heat using an innovative process. One challenge involves designing and manufacturing new materials to create mechanisms with unique functional properties across multiple
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the dynamics of renewable energy generation and demand as well as improving efficiency and reliability. These individual components are integrated in a cyber-physical platform for advanced decision support to
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the vascular tract from the neck to the right heart and the groin for physical vascular access simulation Incorporate the physical EduECMO simulator into available cardio-respiratory physiology models and
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highly motivated PhD candidate to research on the topic of friction mechanisms in single-grain sliding. The challenge Under highly accelerated slip, several physical phenomena contribute to the dynamic
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thesis. Requirements Specific Requirements MSc in Coastal Engineering, Physical Geography or related discipline. You are experienced in hydraulic modelling (e.g. Delft3D, OpenFOAM). You have sound
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PhD position in “Economic Life Cycle Costing and Life Cycle Sustainability Assessment of Hydropower”
the dynamics of renewable energy generation and demand as well as improving efficiency and reliability. These individual components are integrated in a cyber-physical platform for advanced decision support to