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Field
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genomics to define the influence of inherited genetics on tumor evolution Development and application of new computational methods to jointly analyze germline genetics with multi-modal datasets derived from
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, Laboratory for solid-state synthesis and catalysis, to work experimentally on solid-state synthesis and monitoring of the reactions using spectroscopic methods, for a fixed term of 24 months, 1 position
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for constructing correctness proofs, yet the standard symbolic methods face significant limitations in both expressivity and scalability. This project proposes novel techniques for constructing formal proofs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
on experience and qualifications. Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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. • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners
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. OBJECTIVES: - To expand knowledge of the state of the art in the area of radar + video systems for motorcycles; - Identification and selection of the most adequate optimization methods to address the proposed
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. OBJECTIVES: - To expand knowledge of the state of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed
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intelligent surfaces ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through the application of the selected methods
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methods, including longitudinal data analysis techniques, are essential; Qualitative research methods including qualitative interview skills, qualitative analysis skills are desirable; Strong computer
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page to watch video, or click here to open video) About the position The research focus of this position will be on anomaly detection. We mainly aim to develop methods that are applicable for static and