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collections of images and associated metadata. These projects involve methods such as image embeddings, similarity search, clustering, computer vision, and multimodal AI. Across both areas, research assistants
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models
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-vision-based image analysis. Job description Develop the existing functional prototype into a robust, user-friendly measurement system suitable for use in an industrial shop-floor environment. Design and
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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. We
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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eikones - Center for the Theory and History of the Image at the University of Basel The center invites applications from outstanding junior and senior researchers in the humanities, social sciences
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of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Strong