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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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Modelling and Simulation”. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409570/asari-postdoctoral-… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE | Italy | 1 day 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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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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/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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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
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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. Potential projects include: Developing AI/multimodal models (e.g., integrating single-cell omics, spatial transcriptomics, epigenomics, and proteomics) to simulate virtual neural stem cells or organoids