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Post-doc in Machine Learning for Image Processing on Embedded Devices (V24.0155) « Back to the overview Job description We are looking to fill a two-year postdoctoral researcher position as a part
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
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carries out technology research and development (R&D) in optics for space applications. The Optics Section’s activities cover the development of novel optical systems, such as spectro-radiometric imaging
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Atrial fibrillation (AF) is progressive cardiac arrhythmia with a highly variable clinical picture. AF
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will combine cutting-edge nanofabrication techniques, 2D materials optoelectronics, and fluorescence imaging to innovate single-molecule detection platforms. You will have the opportunity to develop new
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medical image analysis, computer vision, or machine learning. You have a clear interest to develop artificial intelligence algorithms and an affinity with healthcare. In addition you possess the profile
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of computational imaging, a marriage between cleverly designed imaging systems and sophisticated post-processing. In everything we do, there is a core of cutting-edge physics and engineering of high-tech instruments
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imaging of biomolecular processes in reconstituted systems and in cells. You will collaborate with leading scientists and help drive correlative high-resolution imaging at ultrafast timescales. You will
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nanofabrication techniques, 2D materials optoelectronics, and fluorescence imaging to innovate single-molecule detection platforms. You will have the opportunity to develop new fundamental insights into light
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are pioneers in developing advanced concepts of computational imaging, a marriage between cleverly designed imaging systems and sophisticated post-processing. In everything we do, there is a core of cutting-edge