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research topics and demonstrate strong motivation. We are particularly interested in applicants with a strong foundation in machine learning/deep learning and medical image processing, excellent Python
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focus on experimental laboratory work or simulation-based studies Requirements: above-average university degree in the subject physics, information systems technique, electrical engineering, or related
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representations of samples while accounting for positional uncertainties during image acquisition and changes in sample shape over time. The project will bring together neural representations, inverse
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. Improving our ability to image and monitor the subsurface is essential for applications in infrastructure management, environmental monitoring, climate adaptation, and sustainable urban development
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engineering, solid mechanics, physics/applied physics, biomedical engineering, chemical engineering, or a related discipline. Candidates with a background in dentistry or dental technology may also be
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Texas Children's Hospital and Baylor College of Medicine | Houston, Texas | United States | 30 days ago
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The Chinese University of Hong Kong, Shenzhen | Eastern Shores, KwaZulu-Natal | South Africa | 22 days ago
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Currently enrolled at a German college or university Proficiency in C++/Python Experience with ROS, image processing, point cloud processing, or machine learning is an advantage Analytical mindset and
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candidate holding a master’s degree or a diploma in electrical engineering, geomatics engineering, geophysics, physics or a related field with a background in digital signal processing and/or image
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French National Institute for Health Research (INSERM) | Lille, Nord-Pas-de-Calais | France | about 1 month ago
the regulatory principles linking food sensory perception to physiological and behavioural outcomes, from the earliest stages of sensory processing to whole-body physiology, across development and in