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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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part of experimental research. Experience with quantitative/qualitative methods (statistical methods and interview analysis). Experience as audiovisual translator is a distinct advantage. Knowledge of
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perform screenings methods to identify molecules involved in the astrocyte-synapse interactions. Experiments will involve the isolation of cells and subcellular fractions from mouse brain as well as the use
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a broad experimental background and are motivated to work in an international and multidisciplinary setting. Experience with research in low-resource environments, such as sub-Saharan Africa, is
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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descriptors and neural network for the task comparing with available experimental results You will conduct research, communicate results via peer-review publication and at conferences You will be a proactive
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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, Information Science, Computer Science, Cognitive Science/Psychology). - Experience using eye-tracking as part of experimental research. - Experience with quantitative/qualitative methods (statistical methods and