8 condition-monitoring-machine-learning Postdoctoral positions at University of Twente in Netherlands
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
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Model of Immersive Learning (CAMIL) by empirically examining how immersive VR supports learning processes across educational contexts. This position is part of a larger project funded by the Nationaal
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emerging computing paradigms can be implemented. The results of the various research projects in the consortium and developments reported in the literature will be monitored and analyzed. Where feasible and
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, tailoring their structure by varying deposition conditions and introducing e.g barrier layers in order to control their response to thermal activation Develop usage of metrology tools to characterize
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extensive network of clinical institutions with whom we collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within
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with whom we collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within the Department of Biomechanical Engineering
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collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within the Department of Biomechanical Engineering check our website
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diversity. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Because of our diversity values we do particularly support