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scores over practical utility, failing to capture how models behave in real-world, socially situated contexts. This PhD project treats evaluation methodology as a research problem in its own right
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struggles to create complete, secure systems at scale. A promising solution is decomposing complex systems into smaller sub-problems, allowing AI to generate components more effectively. Goal Modeling (GM
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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modelling in addressing these challenges (e.g. Raoux et al. 2017; Noguès et al. 2023). The initial study focused on the Seine Bay area, extending northwards to the boundary of French waters, and concentrated
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the PhD). At Sorbonne University, the student will join IMPMC-UMR 7590 (https://impmc.sorbonne-universite.fr/en ). At the University of Melbourne, the student will join the Bio21 Molecular Science
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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
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placed on the economic effects of climate adaptation and mitigation measures on land-use structures and the attractiveness of territorial investment. The study is conceptually aligned with the EUROPE-LAND
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Independent conceptualization and completion of a doctoral dissertation Conduction of courses in the fields of Industrial Management and Innovation Contribution to the operation and further development
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provide us with a conceptual model of the stratosphere's circulation response to the SAI. The QBO has multiple teleconnections with the NAO, the state of the polar vortex and tropospheric convection, and
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supply chain restructuring as geopolitical volatility, trade disruptions and regulatory uncertainty challenge long established globalised production models. This dissertation investigates how