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processing conditions. 3. Performance and Lifetime Analysis: Conducting comprehensive mechanical, chemical, and aging tests on the resulting rubber composites to quantitatively demonstrate the significant
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Your job Do you want to be part of the development of sustainable crop systems that are resource-use efficient, biodiversity-friendly and promote important ecosystem services? Would you like
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
for rapid and resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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the modelling project and a parallel experimental project, focused on measuring particle generation in silicon wafers is therefore essential. Section Mechanics of Materials You will work in the section
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding technological
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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embedded system design to drive neuroprosthetic innovation, we encourage you to apply. Stretch feedback plays a key role in motor control, and its disruption—such as after stroke, spinal cord injury, or in
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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aging affects key cognitive domains such as memory, attention, and decision making, using advanced experimental, neuroimaging and AI modeling techniques. Both projects are part of a broader research