163 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions in United Arab Emirates
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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and rendering. Implement and evaluate neural rendering techniques using real-world digital heritage datasets. Collaborate with an interdisciplinary team of researchers from computer science, digital
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Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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projects at the intersection of computational economics and empirical social science. The RA will contribute to several studies, including projects on inflation expectations of firms and households, network
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to the Center’s commodities markets and AI and blockchain research; and be able to generate research reports, concept notes, and academic papers. Applicants must have a bachelor’s degree in Computer Science
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partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges. Qualifications This position requires a PhD in Statistics, Computer Science or a closely
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measurements for RIS enabled communication environments, as well as processing and analyzing the collected data. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications