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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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We're seeking a Full-Stack Developer to build secure, cross-platform web interfaces for our AI-powered submicron imaging platform. You'll create intuitive applications that work seamlessly across
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Postdoctoral Fellows have access to KAUST’s exceptional research infrastructure, including one of the world’s fastest supercomputers, a full suite of advanced imaging facilities, a class 100 cleanroom for
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to KAUST’s exceptional research infrastructure, including one of the world’s fastest supercomputers, a full suite of advanced imaging facilities, a class 100 cleanroom for nanofabrication, a seires of research
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to: Design, prototype, and test laser-based systems for field use. Conduct field deployments including sensor installation, calibration, and troubleshooting. Write and implement Python-based scripts for sensor
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: The candidate should have expertise in machine learning and computational methods applied to seismic imaging, inversion, earthquake monitoring, or subsurface characterization. The candidate should have expertise
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/molecular screens/assays (e.g., live-cell imaging, bioluminescence assays, digital PCRs, NGS) and the translation of gained insights into the generation of novel cell lines and vector formats (e.g., synthetic
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environment and access to world-class laboratories, instrumentation, and generous funding schemes. KAUST facilities also include state-of-the-art core laboratories in Genomics, Proteomics, Imaging
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generous funding opportunities. Our facilities include state-of-the-art core laboratories in Genomics, Proteomics, Imaging & Characterization, Extreme Computing and Informatics, and an animal resource lab