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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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Research Fellow in Geosolutions: Subsurface Imaging and Uncertainty for Georesources This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with complex biomolecular structures. You
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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Portuguese and English; e) capacity for teamwork, autonomy, flexibility and a high sense of responsibility; f) very good computer skills. Experience in using a web content management system, as well as image
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical