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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
initiative between two Inria research teams: Gamble (Inria Nancy) and Ouragan (Inria Paris), in collaboration with the ANR StratMesh project. The objective is to develop new methods and reliable visualization
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Secure, reliable and efficient transformer-based AI systems TalTech invites applications for a fully
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, reliable, recoverable and capable of supporting the University's teaching, research and administrative objectives. The role will work across on-premise and cloud-based environments providing systems support
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, identity, storage, backup, virtualisation and core infrastructure platforms. The role will ensure that critical ICT services remain secure, reliable, recoverable and capable of supporting the University's
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, the Software team develops and maintains the control systems, data acquisition software, and user interfaces that researchers rely on every day. We focus on increasing functionality and reliability across
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Location St. Louis, MO 63110 Scheduled Hours 40 Position Summary The Chief Quality and Safety Officer is the principal physician executive for quality, patient safety, high reliability, and
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advisors apply its assessment frames reliably and consistently, whether the credential measures what it claims to measure, and how admissions professionals come to trust it. The Postdoctoral Associate will
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to
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these reliably remains challenging. Improved methods could enable early identification of risks to ecosystems and infrastructure, while providing quantitative evidence to support effective intervention