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of large-scale infrastructure and organisational complexity. This research stream goes beyond solving isolated engineering problems. It seeks to establish a new generation of AI-powered frameworks
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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education and postdoctoral training of researchers, and about MSCA Doctoral Networks . Website for additional job details https://umu.varbi.com/en/what:job/jobID:907579/ Work Location(s) Number of offers
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning
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research program described above, the candidate will also participate, together with the other FairCFD doctoral researchers, in a network-wide multidisciplinary initiative addressing the environmental and
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for demanding applications such as aerospace propulsion systems, where high strength, thermal stability, and reduced weight are essential. While LPBF enables the fabrication of complex and lightweight geometries
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production, strategic communications plans, public relations initiatives, and the ASU Sports Network programming relating to the university's intercollegiate sports. Duties and Responsibilities: Develop and
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several years in a management capacity. Demonstrated experience managing large-scale operating budgets and high-dollar vendor negotiations. Experience leading supply chain operations within a complex
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from