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Field
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molecular techniques in cultured cells, xenografts, and engineered mouse models • Working with conventional laboratory reagents, instrumentation, and molecular/tissue biology techniques. • Operating and
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lab investigates how neural circuits process visual information and drive behaviour, as well as the evolutionary development of these visual systems. By studying a myriad of vertebrate species, we aim
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synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake behaving mice, and advanced modeling + machine learning analyses
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plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake
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in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for
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, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions. Our research is engaged
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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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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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-picture challenges in science and technology innovation, and has aptitude for new scientific fields. Successful candidates also demonstrate excellent communication, teamwork, and scientific/technical