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Field
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
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researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural
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radiology, create innovative strategies to elucidate the biological mechanisms of health and disease. Our research emphases are in the area of translational medicine related to oncology, cardiovascular
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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to investigate the underlying DNA damage response mechanisms in cancers. One area of active research is to investigate mechanisms of sensing and resolving R-loops in cancers to provide molecular insight
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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Description The RNA Modifications, Intellect, and NeuroDegeneration (RNA-MIND) Laboratory under the Biology Program, Division of Science, of New York University Abu Dhabi seeks to recruit a research
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-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human