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shell scripting, cluster or cloud computing infrastructure (AWS, GCP) is desirable. • Experience working with mass spectrometry-based proteomics data and familiarity with major protein databases (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
) ecosystem a cloud-based platform that provides secure access to biomedical data, analytic tools, and collaborative workspaces. This position offers the opportunity to work on cutting-edge initiatives aimed
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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pediatric cancer genome database (St. Jude Cloud) and pediatric neuro-oncology data portal, as well as two of the world's largest pediatric survivorship studies. St. Jude offers highly competitive stipends
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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, GEANT4) will be an advantage. A background in radiation oncology or medical physics will be an advantage. Excellent written and verbal communication skills. Experience with cloud computing and big data
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/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional
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decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional