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, using piezo-electric sensors, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods
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dissipative networks. We will view learning as a feedback interconnection of continuous-time (circuit) dynamics and an optimization algorithm. The key idea is to develop algorithms that minimise cost functions
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magnitude, spatial distribution and temporal dynamics of mechanical cues shape cellular responses. You will investigate an integrated cell–material system in which living cells are mechanically coupled to a
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic
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, dynamic behaviour and environmental influences. Develop calibration and uncertainty-evaluation methods for using these sensors in electrical power and efficiency measurements. Apply the measurement system
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health professions education. Your colleagues: You are part of a young, ambitious and dynamic team focus on having a global impact on healthcare through research and translating this into education. What
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communicate your findings through your PhD thesis, presentations at (inter)national conferences and via broader outreach. Where to apply Website https://www.academictransfer.com/en/jobs/363554/phd-position
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attitudes; carrying out in-depth studies to investigate the effects of child language brokering on attitudes and emotions, and on family communication and family dynamics; collaborating in
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applied research in the domains of food and biobased materials. Where to apply Website https://www.academictransfer.com/en/jobs/364061/machine-learningai-researcher-a… Requirements Specific Requirements You