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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
experience with molecular techniques including polymerase chain reaction assays, antibody ELISA assays, making solutions in the lab. Prior experience with Prism graph pad generating data graphs and data
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. Preferred Qualifications Experience applying ML to molecular property prediction, reactions, catalysis, or spectroscopy. Familiarity with deep learning architectures such as graph neural networks and
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(FTE): 1 FTE; 100% Regular/Temporary: Regular About the Job: U-Spatial is seeking a Geospatial Data Engineer / Research Data Analyst to design and implement a sustainable, graph-based data infrastructure
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work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree. Connections
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degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval
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physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree. Connections working at Western Michigan University More Jobs from
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, and graphs drawing on both qualitative and quantitative data Assist with regular updates to the OUE website (Drupal) Conduct research in support of OUE programs as needed REQUIRED QUALIFICATIONS To be
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on Duke Academy, our mastery‑based learning platform that blends AI‑powered tutoring, knowledge‑graph‑driven pathways, and interactive browser‑based coding. Every day, you’ll contribute to a product that is
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degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval
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particular the research lines of Professors Seppe vanden Broucke (e.g., applications of deep learning, graph learning, geospatial analytics, process mining), Frederik Gailly (e.g., ontologies, knowledge graphs