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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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terabytes of imaging data and need to put them through out computational pipelines to extract additional biological insights. This will help identify which T cells are affected by different perturbations and
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . College of Engineering Cluster Hire in Health Engineering Fall 2024 The College of Engineering (CoE, https
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the Faculty of Engineering, and it offers a full spectrum of BME programmes, from BSc, MSc to PhD. The team is the first group to offer Biomedical Engineering related undergraduate programme in Hong Kong, and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 4 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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Mechanical Engineering or related field from an ABET accredited institution/program. 0-2 years of experience working in a fast-paced research and development environment. Minimum of one year of experience
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Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 25 days ago
funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Degree in Biomedical Engineering or
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning