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timeframe. The Data Scientist I will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
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quality based on analysis. Works collaboratively with key stakeholders to organize cross-service quality teams to review processes and methodologies, analyze results and implement plans for quality
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and
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complex technical AI methodologies and real-world healthcare applications. In this role, you will lead the technical execution of the Cores primary service offerings: Multimodal Data Analysis: Lead the
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
and scalability rather than complexity. They must earn and sustain trust across a wide range of partners — technical and non-technical, within ISO and across the University — through honest, reliable
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Business Analyst, you will work closely with Product Managers, technical teams, and stakeholders across the University to translate business needs into well-defined solutions. You will lead analysis
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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for experimental design, and develops data analysis plans Research Portfolio Management: Develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many
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disabilities portfolio. Responsibilities include designing and implementing complex analytic workflows, developing innovative data visualizations to support research and policy translation, contributing to peer