22 bio-inspired-computing research jobs at King Abdullah University of Science and Technology
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Learning, Thirty-sixth International Conference on Computer Vision (ICCV), 2019 Videos A video explaining what is Imagination-Inspired AI relating to themes (a) and (c) is available here: A presentation
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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
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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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We are seeking postdoctoral researchers with expertise in hard carbon synthesis for energy storage applications. This position focuses on developing hard carbon materials derived from bio-based
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to Single Cell Analytics. The Living Systems Laboratory (livingsystems.kaust.edu.sa) offers an excellent interdisciplinary environment where experimentalists work closely with computational experts utilizing
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achievements. Irrespective of their national origins, the people of KAUST are “people of the world” who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness
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. Irrespective of their national origins, the people of KAUST are “people of the world” who uphold our values of achievement, passion, inspiration, citizenship, diversity, integrity, and openness. Located
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international, graduate-level research university, located on the Red Sea near Thuwal, 80 kilometers (50 miles) North of Jeddah, in the Kingdom of Saudi Arabia. Dedicated to inspiring a new age of scientific
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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-inspired approaches for modeling, designing, and predicting the response of composite systems. Responsibilities: Develop AI approaches for predictive multi-physics response of composites in Energy