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Field
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computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and
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studies, procedures and protocols. Participate in discovery projects. Coordinate research study activities; lead and manage projects. Oversee organization, computational modeling, synthesis and analysis
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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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(AUH), where the newly developed therapeutic oligonucleotides will be tested in preclinical models. Applicants must hold a PhD in chemistry and have documented experience in organic synthesis and nucleic
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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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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utilize computational techniques, including modeling, simulations, and machine learning, to analyze the collected data. They will also be expected to synthesize findings into high-impact publications in top
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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