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learning: CNNs, Transformers - Proficiency in programming languages: Python, C++, CUDA (optional) - Use of image processing and AI libraries: OpenCV, PyTorch, TensorFlow * Domain-specific
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Institute of Fundamental Technological Research Polish Academy of Sciences | Warsaw, Indiana | United States | 27 days ago
fluorescence microscopy experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker
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Military University of Technology - Wojskowa Akademia Techniczna | Warsaw, Indiana | United States | about 1 month ago
interdisciplinary research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the
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Image Processing and Analysis Group. This is an ideal position for someone with software/statistics background who is looking for some experience before applying to graduate school or to medical school
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systems, from programming languages to software engineering, from human machine interaction to signal and image recognition, multimedia processing, knowledge engineering, artificial intelligence, and
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Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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Skip to content PhD student in Computerized Image Processing with focus on Applications in data-driven precision medicine Uppsala University Share: Facebook Twitter LinkedIn Email Application
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information processing. In particular, we aim to pioneer theories and technologies that underpin the recognition, understanding, and utilization of diverse forms of information, with a focus on image and