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artificial intelligence tools for medical imaging. The role will support the design of deep learning and predictive models for tumour segmentation, cancer detection, risk prediction, and outcome modelling
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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-based genetic perturbations. Conduct phenotypic characterization using advanced live-imaging and quantitative image analysis. Generate and integrate molecular and metabolic datasets, including
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Biophysics, Bioengineering, Cell Biology or equivalent. Expertise in image/data analysis and coding using Python and ImageJ is required. Experience in cell culture and basic molecular biology techniques is
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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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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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related to staff position within a Research Infrastructure? No Offer Description Ultrasonic waves are widely used in biomedical applications such as medical imaging, physiotherapy, and targeted drug
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the existing work, data, and in-situ measurements at the sites instrumented by ISTerre and EDYTEM in the Aiguilles Rouges and Mont Blanc massifs. He/she will compile the archive of Sentinel-1 SAR images used
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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have