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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the advanced numerical modeling
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are looking for candidates with strong foundations in modern machine learning and the ambition to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
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Toward Scalable and Sustainable AI Across Heterogeneous Resources Supervisor: Frédéric Giroire, CNRS Director of Research, 3IA chair holder. https://www-sop.inria.fr/members/Frederic.Giroire
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. The research activity focuses on theoretical and numerical modeling of the generation, propagation, and ionospheric interaction of electromagnetic waves in the Venusian atmosphere. Where to apply Website https
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: All interested applicants should attach a resume and cover letter in the Supporting Documents section of the application, preferably in PDF format. Your materials should demonstrate your knowledge
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on multi-scale magneto-mechanical approaches), advanced simulation (for instance based on the finite element method), multiphysical characterization of materials and precision instrumentation. The objectives
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 8 days ago
Description Aim of this project is to develop, validate, and apply original models and methods for the path planning and trajectory planning of multiple vehicles in 4-way shuttle-based automated S/R (storage
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prototypes. You will work at the interface of AI and photonic-, semiconducting-, and superconducting quantum hardware. Your work will span across materials, sub-component, and system levels modelling to build
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Position Details Position Information Recruitment/Posting Title Assistant Vice President - Strategic Budget Modeling Job Category Staff & Executive - Finance/Accounting/Purchasing Department UFA
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/ML for the chemical sciences. Develop and teach lectures and hands-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative