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Field
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wide range of valuable and transferable skills. Ultimately, this research will deliver a new paradigm of intelligent robotic additive manufacturing, contributing to next-generation smart factories and
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-urban accessibility to health and socioeconomic outcomes. It will: Challenge the fixed-threshold paradigm by introducing the concept of the “N-minute city,” where N is a time variable that differs across
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images, XCT scans, time-series from sensors during AM and/or vector/scalar datasets like XRD), with an initial focus on identification and deployment of techniques for proper data fusion/transformation
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techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute
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imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. Qualifications Applicants must hold a Master’s degree in bioinformatics, molecular biology, cell biology
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Physics Researcher Profile First Stage Researcher (R1
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the next-generation regional climate model ICON‑CLM to run convection‑permitting simulations (≈2.2 km) over Equatorial East Africa. By transitioning to kilometer-scale modeling, this research overcomes