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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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sparse-regression based techniques to derive interpretable and computationally efficient differential equation models from computationally intensive multi-cellular agent based models (ABMs) of Epstein–Barr
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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Campus Address Tucson, AZ USA Position Highlights The selected candidate will conduct research associated with the DoD-funded project "Nonlinear Oscillator Synchronization and Multi-Agent Consensus
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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration
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standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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, acute kidney injury transition to renal fibrosis); as well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell