40 phd-signal-processing positions at King Abdullah University of Science and Technology
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of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student
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or non-bio-based sources, with applications in energy storage and other emerging technologies. Key Responsibilities: · Develop and optimize hard carbon synthesis processes using bio-based and non-bio
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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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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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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level (Preferred) Experience with Red Sea oceanographic processes About KAUST KAUST is an international, graduate research university dedicated to advancing science and technology through
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. Responsibilities Development and optimization of perovskite-based solar cells at different levels. Developing large-area perovskite solar cells utilizing KPV-LAB's baseline processes. Performing accurate device
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instruments Prepare samples for analysis Process data, accept and certify results Perform basic instrument troubleshooting and repairs Maintain compliance documentation Participate in housekeeping and other
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Responsibilities: Lead pioneering research exploring biogeochemical processes in marine ecosystems, with a focus on some of the Red Sea's unique coastal, pelagic, deep and extreme environments Advance knowledge in
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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