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(IMN, UMR CNRS 6502) as part of the ANR-funded CADENA project, a cutting-edge initiative focused on the chemically assisted reconstruction of detonation nanodiamonds (NDs) for catalytic applications in
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analysis, contributing to both academic scholarship and broader public conversations; collaborations will take place with faculty, researchers, students and senior administration colleagues. This position is
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correlative analysis. Alternative mediated systems other than lithium will also be investigated. Your work will also build transferable capability for other lithium and battery-relevant interfacial processes
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. Researchers benefit from state-of-the-art optics and prototyping facilities, high-performance computing for AI-driven analysis, and direct access to clinical environments. This multidisciplinary ecosystem
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of extension. The expected starting date is August 1, 2026 or soon thereafter. The candidate will be part of the Section Distributed, Embedded and Distributed Systems, and the research group Quantum Systems
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postdoctoral researcher to develop and deploy coupled X-ray computed laminography and X-ray diffraction methods for non-destructive 3D analysis of solid-state battery pouch cells. The role is embedded within
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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skills and interest in analysis of audiovisual materials (including sound, images and video). The fellow will work closely with the WMP Co-Directors, WMP’s Program Manager, and QAC faculty and staff
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intervals/bootstrapping, hypothesis testing, subgroup/stratified performance analysis. Large cohort and datasets handling. Experience with Multimodal Deep Learning approaches, representation learning, etc
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-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian