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for the anticipation of extreme stresses on structures. The second step relies on modeling the accidental cascade. Bayesian Networks provide a formal structure for the causal chain (Flood → Loss of containment → Leak
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– “The Phosphatase PtpA as a Suitable target to Fight Tuberculosis – A Structure-based Drug Design Approach”, (ref. 2024.15885.PEX), funded by the Foundation for Science and Technology, I.P./MCTES through national
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Christian RICOLLEAU, from the 'Advanced Electron Microscopy and Nano-Structures' team at the MPQ laboratory (https://mpq.u-paris.fr/means/ ), in close collaboration with Marc RESPAUD, from the "Surfaces
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of possible faults, folds, and structural and stratigraphic traps favorable for CO2 storage. This approach aims to achieve accurate results even with limited initial conditions (see Asnaashari et al., 2013
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 14 hours ago
to take German courses. Application deadline https://imprs-qbee.mpg.de/32524/apply Submit application to https://imprs-qbee.cloud.opencampus.net/ Structured research and supervision Yes Research training
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, Manufacturing and Construction 01 – Education Sciences and Teacher Education 08 – Agriculture, Forestry, Fisheries and Veterinary Science 09 – Health and Social Welfare Specific Requirements Legally prescribed
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financial markets and allows you to learn many aspects from fundamental research problems to concrete applications. More information about the research teams can be found from the centers’ web site: https
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activity, and service. For more information about the Department of Construction Management visit: https://www.unf.edu/ccec/construction/index.html Statement(s) of Understanding This position requires a
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, depending on their individual skills and experience. The Ph.D. candidate should choose one of the following topics: - Theoretical investigations of the band structure topology and/or magnetism via density
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Computer Science and Artificial Intelligence Deliver foundational and core courses including: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Introduction to Machine Learning