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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
cadre of satellite and airborne remote sensing platforms, termed ‘plume imagers,’ is demonstrating increasing ability to detect geologic emissions of CH4 and CO2 emissions from space. Unlike ‘area mappers
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medicinal chemistry (drug discovery, organic synthesis, total synthesis, and/or methodology); Experience in biomedical imaging (in vivo fluorescence imaging, photoacoustic imaging, dye engineering, and/or
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at Université Côte d'Azur includes 37 research teams and 8 support services. The centre's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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Your job Are you a biologist interested in architecture, design, and engineering? Or an engineer or designer interested in biology? Would you like to contribute to the design of sustainable
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with