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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
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interest in quantitative biology Curiosity and motivation in learning multiple -omics approaches Preferred experience includes familiarity with quantitative proteomics or NGS library generation Previous
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bridging digital modelling with real-world factory implementation, this project will contribute practical methodologies and guidelines for scalable, circular manufacturing systems across multiple industrial
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unavailability, signal jamming, or degraded radio environments. The central aim of the thesis is to extend communication concepts from single UAVs to coordinated multi-UAV systems. By deploying multiple UAVs
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. A
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two PhD students for this project. Your work focuses on integrating multiple sources for prediction, including common and rare genetic variants, family history, ancestry and typical age of onset. Your
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- from individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological