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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 27 minutes ago
transfer modeling, which leverages in-depth temperature measurements to estimate surface heating conditions. These methods are also invaluable in high-enthalpy test environments like arc jet testing, where
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Treatment. The post-holder will work in the School of Biomedical Engineering & Imaging Sciences, King’s College London, with a team of investigators covering AI, computer vision, robotics, and medical imaging
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/TensorFlow for computer vision tasks Track record of publications in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical
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previous five years Minimum Experience: 0-1 year Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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genetic sequences, from outbreaks and epidemics. These data could be at the household or population level, and the methods development can include causal inference, model diagnostics, estimation
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more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 12 hours ago
methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be