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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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; environmental science; statistics; mathematics; data science; data visualization; documentation; records management; complex problem solving; critical thinking; resource management; communication; community
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Science, Statistics, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python
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714.509.6094 Department: https://recruit.ap.uci.edu/JPF09063 Qualifications Basic qualifications (required at time of application) PhD in electrical or biomedical engineering, medical physics, computer science
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, Computer Engineering, Artificial Intelligence, or a related field. A prior postdoctoral research experience is preferred Accompanying Knowledge, Skills, Abilities, and Competencies Strong mathematical
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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years of age. Be pursuing or have a degree in a science, technology, engineering or mathematics (STEM) discipline or a field that supports the NNSA operations mission including but not limited
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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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engineering. Classes and student activities are conducted in English. Applicants are welcome and encouraged from relevant engineering disciplines, computer science, mathematics, and physics. The institute has