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Field
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for particle detection and polymer identification including confocal and high-resolution imaging and spectroscopic analyses such as OPTIR and micro-Raman spectroscopy. The results will provide new insights
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using model plant species to examine root oxygen status under contrasting environmental conditions. • Application of imaging- and sensor-based approaches to visualise and quantify oxygen dynamics in roots
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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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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
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models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The SRA will oversee and manage the work of graduate students and undergraduate
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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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, including nanoscale mechanical or electrical characterisation modes Experience with multimodal characterisation: SEM/TEM, rheology, FTIR, XPS, XRD, confocal imaging Practical experience in the fabrication