9 parallel-computing-numerical-methods Postdoctoral positions at University of Maryland
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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(developed from satellite observations, ground monitors, and numeric modeling) with adverse birth outcomes including low birthweight, preterm birth, hospital service use, and mortality. Essential Functions
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computational modeling. The postdoc will carry out daily research tasks in the lab, including maintaining cell culture, protein expression, and purification, running biochemical/biophysical assays, protein
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(multiphase flow, phase change materials, nanoscale transport), microfabrication, electrochemistry, microfluidic visualization methods, CFD/2-phase simulations, nanoscale thermal/electrical mobility simulations
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(e.g., electrolyte transport properties) and cell-level (e.g., separating electrode- and particle-scale) processes. Methods such as EIS, GITT, pulsing, and others may be used. The position will be in
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to the design of experiments for parameterization of material-level (e.g., electrolyte transport properties) and cell-level (e.g., separating electrode- and particle-scale) processes. Methods such as EIS, GITT
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of complex biopharmaceuticals and vaccines. Projects encompass methodology development, including data analysis, method harmonization and case study applications of state-of-the-art biomeasurement techniques
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of Position: The Maryland Robotics Center (MRC) in the Institute for Systems Research at the University of Maryland, College Park, is seeking candidates for the 2024-2025 MRC Postdoctoral Fellowship Program
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-AHEAD network resources including large datasets and computing infrastructure. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Applicants should have completed