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Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge
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across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile PhD in computer science, physics, materials science, applied mathematics or a
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: Photon-counting and spectral CT imaging CT reconstruction and image-processing methods Material decomposition and quantitative spectral imaging Image segmentation, registration, and quantitative
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changes during HIV-1 and VEEV infection. To use organoid sections, intact organoids and cells models in this study. Apply advanced image analysis including AI assisted segmentation, classification
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Design pipelines for image preprocessing, segmentation, feature extraction, and predictive modeling Collaborate with cross-functional teams to integrate imaging data with genomic/transcriptomic/proteomic
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Experience with segmentation, tracking, registration, time-series analysis, or automated image-processing workflows is desirable. Experience with fluorescent probes, biosensors, HaloTag/SNAP-tag systems
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research data to support ongoing imaging studies. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques
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educational requirements prior to employment start date. Additional Required Qualifications Demonstrated experience with computer vision and/or machine learning, particularly image segmentation
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-based modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science
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French National Institute for Health Research (INSERM) | L'Haÿ-les-Roses, Île-de-France | France | 14 days ago
should have experience in quantitative biology and/or bioinformatic analysis, including: Image analysis (cell segmentation, tracking, morphometry analysis) Spatial transcriptomics Single-cell