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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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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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://jobs.dzne.de/en/p/helmholz/jobs/101591/phd-student-fmx-in-chronic-neuro… Requirements Additional Information Website for additional job details https://jobs.dzne.de/en/p/helmholz/jobs/101591/phd-student-fmx-in
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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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6 Mar 2026 Job Information Organisation/Company Cluster of Excellence ROOTS Research Field History » Archaeology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 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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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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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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group's efforts to be involved in the ATLAS experiment as part of the UAE-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics
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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