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do caregivers strike a balance of children’s individual needs in dyadic caregiver-child relations and the dynamics of the group? (Study 4) The project involves: quantitative analysis of large-scale
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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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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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Do you enjoy working as a PhD on search for the extremely rare process of ttHH production in LHC Run-3 data? Or are you interested in focus on the reconstruction of two-Higgs decay channel into a
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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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with the fishing industry. In this role, you will translate knowledge needs from practice and policy into concrete research questions and project plans. You will acquire and manage new research projects
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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
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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
-
. 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