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Field
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data, and boreholes. The candidate will revisit the current fault seal integrity algorithms and will contribute to improving the algo-rithms utilizing deep learning among other methods. A part of the
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deterministic PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and optimization. Examples of relevant equations include, but
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at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms. The appointment is tentatively
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quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for
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in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work
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/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python. They are also expected to write publications, liaise with collaborators
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and