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Field
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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algorithms, clinical decision support systems, and population health management platforms. Evaluate emerging technologies in clinical informatics and provide strategic recommendations for their adoption within
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their role in efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization
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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 | 2 months 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