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focused on acquisition and annotation of images of marine aids to navigation and hazards for machine learning applications. Other duties will include support of field deployment of robotic systems
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-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities
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Vantage Orian® MRI. -A newly installed Siemens NAEOTOM Alpha® photon-counting CT equipped for both small and large animal exams. -A planar gamma camera linked to a MIE computer, isolation facilities
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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established that reliably identifies the connected components in the diagrams. You will learn about novel AI models and exchange ideas with experts from the building sector. The "Image Processing and Machine
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advanced MRI methods and/or machine learning to evaluate patients with brain tumors. The candidate will be expected to develop, utilize, and extend innovative imaging and spectroscopic data acquisition
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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
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from diffusion tensor imaging of the heart along with all parameters determining the measurement process itself. Job description The position to fill concerns advanced data synthesis (both via machine
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algorithms; experience in 3D/4D (X-ray tomography) image processing; experience in machine-/deep-learning based image analysis; knowledge of tomographic reconstruction methods; experience in materials research