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2D/3D/4D image parsing, segmentation, and building robust computer-aided detection systems Proficiency with modern deep learning frameworks (PyTorch, TensorFlow) and related tooling Demonstrated
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 4 hours ago
the exact research topic depends on the background of a suitable candidate. The main topics of the group in the past few years were generative modeling, 3D reconstruction, image-editing, and deep
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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 4 hours ago
Rohrbach and T Tuytelaars Code: https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses Theme C Vision&Language learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual
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well as expertise in sample preparation and 3D electron microscopy image analysis, are required. Profil du candidat Holder of a PhD in biology or biophysics, you have completed a postdoctoral contract of
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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characteristics from 2D and 3D images resulting from magnetic resonance, X?ray and electron images -integration of motion analysis and digital volume correlation -processing of images in preparation for image
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Copenhagen. Our group works with stem cell-based models to produce high-quality neuronal, glial, 3D and assembloid models. We use these to develop stem cell transplantation therapies for neurodegenerative
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. Positively assessed criteria: Experience in working with 3D/organoid cultures Experience in high-throughput screening assays and high-content image analysis Experience in working with intracellular
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-biology driven projects to identify novel spatial biomarkers, therapeutic targets, and rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial