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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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Domaine Physique du noyau, atome, molécule Contrat Post-doctorat Intitulé de l'offre Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F Sujet de stage
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 12 hours ago
ambassador to NETL for students interested in careers in the national lab complex Research Project Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks a faculty collaborator
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solutions to increase the energy density of flow batteries. You will study complexes with transition metals, such as iron-based complexes, and inorganic prussian blue analogue materials. You will also study
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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-fuels. It will involve studying the behavior of methanol synthesis catalysts under varying reaction conditions, proposing an associated kinetic model, and implementing the reaction kinetics into a
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temporal resolution. Background in network science, statistical physics and complex systems. (Optional) Familiarity with information-theoretic measures (Transfer Entropy / Symbolic Transfer Entropy) and the
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
quantitative skills and curiosity about complex systems. Position Overview You will design, implement, and apply new computational and statistical models to reverse-engineer causal networks from noisy, high