68 phd-position-in-data-modeling-"UCL"-"UCL" positions at King Abdullah University of Science and Technology
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Computer Vision: OpenCV, scikit-image, ITK, SimpleITK Generative AI: Stable Diffusion, GANs, VAEs, Diffusion Models Imaging Tools: DICOM handling, 3D Slicer, ImageJ MLOps: Docker, Kubernetes, MLflow, DVC
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information about KAUST academic programs and research activities are available at: http://www.kaust.edu.sa The PSE Division comprises seven Degree Programs: Applied Physics, Chemical Engineering, Chemistry
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King Abdullah University of Sciences and Technology (KAUST) invites applications for a faculty position in Emerging Semiconductor Materials and Devices. We are particularly interested in candidates
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control, data acquisition, and visualization. Assist with embedded system development. Document design iterations, field tests, and system behavior in comprehensive reports. Ensure compliance with relevant
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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seeking to expand research, higher education and innovations in the field of Marine Data Modelling and Integration. Applications for a faculty position at the rank of: Assistant Professor are invited from
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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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research on the synthesis of nanomaterials for applications in energy and the environment. Apply at https://kaustforms.formstack.com/forms/hiring_yavuzlab for consideration. The positions are available
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Synthesis position in his research group. This position focuses on developing hard carbon materials derived from bio-based or non-bio-based sources, with applications in energy storage and other emerging