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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database administration. OR equivalent combination of relevant education and experience. Preferred
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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candidates will teach in Sanford’s core curriculum, with a strong preference for those who can teach political and policy analysis courses in the school’s undergraduate and master’s degree programs. Candidates
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Institute for Brain Sciences (DIBS) to attract and retain top neuroscience research talent that facilitates sustained excellence. Educational · Oversee the PhD curriculum. · Ensure the continued
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dynamic team. In this role, you’ll support the PhD program and assist with Master’s programs as needed. You’ll be a key point of contact for graduate students, helping them navigate academic requirements
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, computer science, engineering, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning
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accelerators including TrueBeam machines – all with onboard kV/MV radiograph/CBCT for IGRT and gated treatment, Halcyon, Ethos, large-bore CT simulators, PET/CT, MR unit, HDR units, ARIA information system, and