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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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at the University of Vienna invites applications for a Tenure-Track Professorship in Aerosol Modelling 51 Faculty of Physics Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2 Reference no.: 6010
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on the computational modelling of degradation routes of organic molecules in the lithium-air battery. The position will involve collaborating with other groups, presenting to key stakeholders and preparing manuscripts
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Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work at the intersection of physical oceanography, numerical modeling, high-performance computing, and machine
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 17 days ago
Description The project aims to develop, validate, and apply original models and methods for the design, management, and optimization of material-handling solutions and four-way shuttle-based automated storage
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.10.2026 | Working hours: 40.00
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. 2 PostDoc Positions at EPFL on Biological Foundation Models General The Artificial Intelligence
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at the University of Vienna invites applications for a Tenure-Track Professorship in Aerosol Modelling 51 Faculty of Physics Collective bargaining agreement: §48 VwGr. A2 Reference no.: 6010 The position
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- $139,487 + 17% superannuation About the opportunity As the Portfolio Manager, Academic Model, you will play a key role in overseeing operational administrative support and driving the effective
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measurements with patient-specific digital twin technology. The doctoral candidate will develop mathematical models that link clinically acquired echocardiographic data to the underlying physiological and