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Field
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candidate will design and develop digital twin algorithms for computational fluid dynamics, contributing to innovative solutions in healthcare software systems. This role involves collaboration with research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-powered analytical platforms to support patient-centered biomedical research. Current projects involve building computational frameworks for multi-omics integration, modeling cancer vulnerabilities
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tools in combustion. Our computational codes are also used by various international research institutions. Both experimental and numerical projects are conducted in parallel providing a platform for
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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communication skills *Proficient in Microsoft Office *Proficient in Python or other scripting language *Experience with safety practices in an academic laboratory environment desired Applications are accepted
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in
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at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University. Dr. Jiayan Zhao brings expertise in interface design, data visualization, and user experience evaluation in virtual environments
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to develop robust experimental designs, to conduct data processing and statistical analysis with relevant programming language(s) (such as Python and R), and to handle high-dimensional research data to a high
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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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and an interest in language or communication. A two-year commitment is preferred. Responsibilities: Generation of Scientific Products (70%) Process and analyze data from NIH funded studies of infant