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and nanostructuring, all guided by advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You
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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature
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technologies (e.g. transdermal alcohol sensors) and/or virtual reality in research Experience in systematic review methods and/or survey design Familiarity with interdisciplinary or multisite research
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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transduction by sensor histidine kinases. Available Instrumentation: USC maintains >90 research core facilities, including a recently established state-of-the-art Cryo-EM Facility at the Core Center of
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priming and susceptibility to infections. The project aims at understanding how endogenous nucleic acids can contribute to the basal activation of innate sensors. Our group previously studied the role
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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, United States of America [map ] Subject Areas: Physics / Atomic, Molecular, and Optical Physics , Experimental Ultrafast Physics , Metrology , Optics and Photonics , Quantum Optics , Quantum Sensors , Ultrafast Science
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real