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As part of the UKRI funded `Glaciers and Ice Sheets in a Warming World' project, we have an exciting opportunity for a postdoctoral researcher who has expertise in image analysis to join the project
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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focuses on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally
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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a postdoc position in the field of medical physics, within the topic image-based analysis
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21 Feb 2026 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 23:59 (UTC) Country France Type of...
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally