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; • Extensive knowledge of solar flare physics; • Extensive experience in the analysis of astronomical data (images and spectra) from X-ray and UV/EUV instruments; • Documented experience in designing Bragg
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
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the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the investigation of different cellular process with super-resolution
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prototype different thermal technologies and evaluate as well their integration and control within given hybrid systems, and under different market scenarios and industrial applications. Among
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology, biochemistry, cell biology
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for NIH-funded laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology
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design, implementation, and coordination of UAV hyperspectral and thermal field campaigns in Netherlands, Italy and Spain. Process and harmonize phenotyping, genetic, and canopy-level remote sensing