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of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module
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experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some
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the research assistant will investigate putative circuits that drive the differential sleep-wake architecture in stress susceptible and resilient mice. For this study the Applicant may need to learn the basics
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learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical
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learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical
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learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and establishing collaborations across disciplines. Applicants must have a PhD in an engineering or
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, Blender, Maya and motion tracking. Critical thinking and problem-solving skills. Team player with good communication skills. Basic knowledge of machine learning. Proficiency in English. For consideration
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to predict traffic flow patterns in urban networks when parts of the network are cut due to inundation resulting from sea level rise (SLR), by using machine learning methods. Using these models, optimal
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experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some
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projects, depending on experience and willingness to learn. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students