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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 Synthesis, optimization, and preparation of hyperbranched, rubbery
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electrochemical, microscopic, and spectroscopic techniques to establish structure-property relationships that support the optimization of the sensor. Where to apply Website https://apps.unive.it/domandeconcorso-en
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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Cloud and on-prem systems. Optimized data movement with minimal latency and high throughput. Standardized, reusable integration patterns. Develop ETL/ELT processes using tools such as Oracle Data
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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campuses, including the flagship John C. Hitt Library, we provide seamless support services, essential resources, and cutting-edge technology to optimize research and visibility. Our mission is to empower
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for the capital planning and finance, real estate, design and construction of all campus capital projects. Position Summary The Director of Brand Management and Licensing provides strategic leadership and executive
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi-timescale optimization, and integrated
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 days ago
-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the design and