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Field
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of Computer Science (DCS) investigates and contributes to shaping the information and communication technology-society interface. DCS promotes interdisciplinary research and closely cooperates with other high-profile
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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for adaptive immunity, anti-infectious vaccines and vaccine technology. Motivation to work with pre-clinical model of vaccination and infection based on animal experimentation. English speaking and
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established expertise. In particular, this research work will build on breakthrough technology developed by the research team through the SequoIA startup initiative, currently in its prematuration phase
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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the distribution of generated images with the distribution of a set of ground-truth images, using the Wasserstein distance between two full Gaussian distributions. Current OT approaches for high-dimensional
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, counselors and agents) through phone, email, video and in-person interactions. Connect students and families to necessary internal parties to help with conversion- current students, alumni, faculty and campus
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from amino acid sequence in proteins. However, understanding and making predictions for the global...
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@inserm.fr with CC to stephanie.chambaud@u paris.fr and charlotte.bouquerel@u-paris.fr, including: • A detailed CV (including a complete list of publications). • A 2-page statement on past and current research