33 biomedical-signal-processing positions at King Abdullah University of Science and Technology
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, and 2D/3D detection along with point cloud processing Required Technical Expertise: ○ Deep Learning Frameworks: PyTorch, TensorFlow ○ Computer Vision Libraries: OpenCV, scikit-image
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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of a team while building the foundation of their own research independence. What we offer: Conduct cutting-edge biomedical research in a state-of-the-art environment. Access to supreme core facilities
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encryption, authentication, and secure data transmission Integrate AI/ML models into web interfaces with real-time inference capabilities Create data visualizations for 2D, 3D, and point cloud data
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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly
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university-level studies. We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is
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airborne particle control (HVAC, AHU, CDA, PVAC) Chilled, waste and DI water systems Process gases and gas abatement Responsible for Gas Cylinder (toxic and corrosive) ordering, changes and ensuring safe but
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for the following research themes: Heterogeneous Catalysis Metal Capture from Water Electrochemical Water Splitting Process Design and Scale-up
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data