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Field
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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performance in hydrogenation, dehydrogenation, and hydrogen transfer reactions. Detailed characterization and kinetic studies will be performed to test computational predictions and microkinetic models, and to
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patterns and assess real-world effectiveness and safety outcomes, including survival, relapse, infection, and adverse events. Machine learning methods will be applied for risk prediction, signal detection
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About the position One or two position as a PhD Research Fellow in Mechanics: Viscous flow coupled with elastic deformations linking flow control and soft robotics is/are available at the Mechanics
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opportunity to develop a computational theoretical framework for predicting CIB fluctuations as a function of cosmological parameters. The candidate will work with time-ordered data from each of the above
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. Demonstrated experience applying machine learning and AI-based approaches to empirical disease, ecological, or biological datasets, with an emphasis on pattern identification, prediction, or spatial risk mapping
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. Machine learning methods will be applied for risk prediction, signal detection, and causal analyses, generating robust evidence to inform clinical practice and regulatory decision-making. A key objective is
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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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analysis tools such as Curie and/or ROOT Experience with using nuclear-reaction codes which are commonly used to predict the reaction cross sections for medical isotope production, e.g. TALYS, TENDL, CoH
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tooling, and full-scale prototyping. RA2) 3D Concrete Printing: Computational design and robotic fabrication of concrete structures, including performance-driven control of deposition paths, development