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We are seeking a Postdoctoral Appointee to work in the Mathematics and Computer Science (MCS) Division of the Computing, Environment, and Life Sciences directorate (CELS) of Argonne National
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Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral
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positions in the professional ranks. Preferred Qualifications Strong background in mathematical modeling, optimization, and simulation techniques. Proficiency in relevant software tools (e.g., MATLAB, Python
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in statistics, applied mathematics, big data analysis, and computer science. The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines
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large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation
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Education/Experience A PhD in natural resource economics, mathematics, geography, environmental studies, natural resource management, or similar disciplines Experience and/or training with rules-based models
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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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vacuum instrumentation. U.S. citizenship is required for this position. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. The position is initially for one (1
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). Knowledge and abilities with advanced analytical techniques such as LC-MS, GC-MS, Raman spectroscopy, and NMR for compound identification and metabolic profiling. Familiarity with statistical modeling and