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; experience in experimental investigations of metallic materials; experience in modelling/simulation of the mechanics of metallic materials; interest in and skills relevant to developing novel in-situ
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mixing modelling and mathematical properties related to thermodynamics, Development of numerical simulation within an open-source code, Writing skills, ability to formulate a scientific project, publish
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with
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transport simulation or ab initio codes would be a strong asset. Soft skills: Autonomy, Teamwork REQUESTED DOCUMENTS OF APPLICATION, ELIGIBILITY CRITERIA, SELECTION PROCESS CV and motivation letter HOW
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Characterization of LAM Model Deployment on Edge-Cloud Optimization of LAM Model Deployment on Edge-Cloud Simulation of LAM Model Deployment on Edge-Cloud Where to apply Website https://www.uniovi.es/conocenos/rrhh
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
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: Pharmacokinetics: Translational Modeling and Simulation → 100% Assistant professor tenure track → Reference number: 202512/FW03/ZAP-BOF/015 ABOUT GHENT UNIVERSITY Ghent University is a world-class, open
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that demonstrate an excellent aptitude for experimental research and, in particular, numerical modelling, is a positive characteristic. IT and simulation skills, combined with organisational and communication skills