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Field
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international collaborations, this effort seeks to shift the landscape of biological and medical imaging through pioneering, miniaturized, multimodal technologies. The candidate will have the opportunity to shape
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-optimization of industrial end-use systems and energy supply systems. Build reproducible computational workflows for data processing, model development, calibration, validation, and scenario analysis. Develop
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 14 hours ago
in-depth research and analyses for comprehensive and long-term energy policy planning and strategy development on domestic production of processed critical minerals (oxides, oxalates, salts, and metals
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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and non-immune cells influences the disease outcome of airway and brain disorders (Eur Respir J. 2025 65:2401114, Nature Immunology. 2022 23:1714). The candidate should have strong interests in
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biology, or related quantitative disciplines. Experience with longitudinal health data, machine learning, natural language processing, large language models, causal or counterfactual methods, or clinical
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interpersonal skills and the ability to prioritize effectively in a fast-moving research environment. Preferred Qualifications: Experience with large language models, natural language processing, transformer