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related techniques. Demonstrated ability to prepare, process, and analyze polymer samples. Familiarity with experimental design, data analysis, and maintaining laboratory instrumentation. Excellent
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of evolutionary processes. The candidate will join a highly multidisciplinary environment consisting of population geneticists, microbiome scientists, statisticians, and computational biologists, as
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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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RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets
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-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems, understand the design and development decisions that propagate social biases, and
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reporting Provide operational support for SMSP, SA, and YFMW selection processes Foster collaborative opportunities and build connections with other programs and departments within the university, including
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atmospheric and surface processes. Assist with analysis of additional Mars mission datasets: Examine and interpret complementary data from other Mars missions to strengthen current models and provide
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concisely and clearly. They should be keen about publishing their work and findings and strive to meet deadlines. A bachelor’s degree in Computer Science or Computer Engineering is required. The candidate
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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