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, the university hospital of TUM. Our offer We are currently seeking two PhD candidates to join our international team of scientists from the fields of machine learning, computer vision and medical imaging. We offer
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in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods
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Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
of Translational Radiooncology and the department of Positron Emission Tomography are looking for a PhD student(f/m/d)shared between both institutes and working on the topic of Harmonized PET imaging for outcome
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development for clinical translation. Additional skills for Image Science: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging Candidates with a recent PhD
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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Job Description Perform research in operando imaging guided materials design for sustainability. Qualifications The successful candidate should possess the following: • A PhD in Materials Science
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. The successful candidate will be expected to: 1. Oversee Center operations, supervising two full-time PhD imaging specialists, who manage Center services, equipment maintenance, system repairs and service billing