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equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge
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environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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current work in our Geographies of Life research cluster. We encourage applications in health geographies broadly defined. This could include but is not limited to: political economies and political
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complement and extend our current work in one or more of our research clusters (Hazards and Surface Change; Catchments and Rivers; Sea Level, Ice Sheets and Climate), but we particularly welcome applications
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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the domain of molecular simulation of physico-chemical processes in proteins. The PhD student will have access to the computer cluster of the lab and to national supercomputers of the GENCI. [1] R
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19.03.2026, Academic staff The Munich Design Institute is inviting applications for a 1-year postdoctoral/doctoral position to work within the DFG Cluster of Excellence TransforM. We invite
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between scientific staff, PhD students, Postdocs, and scientific developers. You will also have access to the extensive industry network of the cluster and real-world data on threat intelligence and attack
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple