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researchers to translate models into usable tools and optimize simulation inputs. User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations. Machine Learning
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/124 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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group led by Prof. Dr. Leticia Tarruell. The group performs quantum simulations with ultracold quantum gases, using atoms to engineer novel forms of quantum matter and to solve problems that are hard
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) for Numerical Modeling & Simulation of In-Flight Icing and/or Advanced Propulsion Systems for Aircrafts Your responsibilities: You will investigate and simulate the in-flight icing characteristics, ice protection
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE | Italy | 9 days ago
Description The activities of the researcher shall include: 1) the development in COMSOL Multiphysics environment of a simulation tool for the distribution of temperature and electric field in HVDC cable system
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interested in mining simulation models (or digital twins) of supply chain processes? Do you want to contribute to more circular high-tech supply chains? Join our exciting STRIDE project at TU/e, in
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to simulate seismic hazard scenarios. The objective is to improve the predictive performance of existing models, addressing both non-permanent shaking effects and permanent coseismic phenomena. Innovation lies
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technologies ranging from anatomic models and task trainers to screen-based simulation to full-body patient simulators and virtual reality surgical simulators. Provides technical support and A/V setup during
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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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element simulations, and Markov chain-based models [1], two complementary approaches will be developed: Physics-stochastic hybrid approach [2]) and Physics-Informed Neural Networks (PINNs) [3]. Task 3