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generating multi-omics data from a large collection of mouthwash samples, bioinformatics data analyses, microbial cultures, as well as managing the day-to- day functioning of the lab. Applicants must hold a
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students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Associate position must
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experience in chemostats, culturing of phytoplankton and/or bacteria. Strong bioinformatics skills and a proven ability to perform data analysis using programming environments such as Python or R is also
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process. Our lab has been conducting large scale web-based experiments using the masked priming paradigm to measure with high precision how different sources of information are taken into account in
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art
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. The newly established CIDSAI’s mission is to produce research in data science and artificial intelligence. The CAMeL lab’s mission is focused on research in Arabic natural language processing and
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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the coming year. We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply, in areas including, but not limited to the following: Computer systems Databases Theoretical
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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initial phase will employ machine learning models, computer vision algorithms, and real-time sensory integration to prototype tools such as SafeCross for safe street crossing and EasyPath for indoor