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to remove PFAS. To accomplish these goals, the candidate will participate in the development of AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross
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technologies, ethical implications, and governance frameworks, including knowledge of algorithmic accountability and transparency. Experience with both qualitative and quantitative research methods, and
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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Experience: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI. Machine Learning Experience: Knowledge of ML techniques, including reinforcement learning
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/ On Call Schedule: Monday-Friday, 8:00am-5:00pm FLSA Status: Non-Exempt Location: Hybrid/District of Columbia Department name: ???????Edwin O Reischauer Ctr for E Asian Stds Personnel area: SAIS Create a Job
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/Range: ACRO40/E/03/CD Starting Salary Range: $17.20 - $ 30.30 HRLY (Commensurate w/exp.) Employee group: Limited Schedule: Monday-Friday, 8:00am-5:00pm FLSA Status: Non-Exempt Location: Hybrid/District
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(Working Title): Reischauer Policy Research Fellow Role/Level/Range: ACRO40/E/03/CD Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: Monday-Friday