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aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community. Please note that
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: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan invites applications for a one-year Postdoctoral Research Fellow
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accurate and high-quality Building Information Models (BIM) for the University’s built environment. Working under guidance, the role will involve creating and maintaining Revit models with the appropriate
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 15 hours ago
Numerical modeling LanguagesENGLISHLevelGood Additional Information Website for additional job details https://emploi-recrutement.ird.fr/offre-de-emploi/emploi-ingenieur-de-recherche… Work Location(s) Number
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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, particularly for multi-variable simulations. Knowledge of complex systems modeling applied to urban dynamics. Publications in scientific journals. Personal and Organizational Qualifications: Ability to develop
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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 4 days ago
on their operational history. This knowledge is fundamental for the adaptation of future maintenance and replacement policies. It will indeed make it possible to better manage the renewal of the network by making
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SEVERUS in silico modeling, with emphasis on performance, scalability, and reproducibility. Activities include engineering modular workflows in NEST (and ARBOR, if needed), profiling and optimizing