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Field
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is on interactive communication of humans with technology. We are seeking excellent applicants who study communication with artificial intelligence (AI). Relevant areas may include communication with
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with multidisciplinary teams (geologists, geophysicists, hydrogeologists, reservoir engineers, etc.). Participation in presentations, workshops, or conferences to share findings and advancements
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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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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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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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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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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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5234 Fundamental Microbiology and Pathogenicity (MFP) Teaching Assignment: College of Science and Technology - Biology Teaching Unit Duration: 5 years with pathway to permanent professorship upon