42 software-defined-network-phd Postdoctoral research jobs at The University of Arizona
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for manuscripts related to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in
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/mentoring graduate and undergraduate students). Additional duties as assigned. Minimum Qualifications Ph.D. or equivalent degree in physics or a related field. Preferred Qualifications Candidates with a PhD
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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to complete data analysis and programming (e.g., Python, MATLAB). Knowledge of 2D materials and quantum device. Collaboration and interdisciplinary research abilities. Minimum Qualifications PhD degree in
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Qualifications PhD degree in Materials, Science and Engineering, Electrical Engineering or Physics. Must be conferred before start date. Preferred Qualifications Experience in semiconductor device fabrication and
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the regional networks and dense seismic arrays. Minimum Qualifications Candidates should hold a Ph.D. in geophysics or a related field at the time of appointment. Preferred Qualifications Previous experience in
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institutional needs evolve. Minimum Qualifications A Doctoral degree in Aerospace or Mechanical Engineering or other related field of study. Must have PhD conferred upon hire. Federal regulations require
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Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role
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on Compact Manifolds with Novel Feedback Coupling and Complex Network Optimization." Specifically, the selected candidate will address Research Objective (RO) (2) Investigate the dynamical phenomena of orbital
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familiarity with scientific software development best practices. Evidence of scholarly productivity and effective collaboration in interdisciplinary teams. FLSA Exempt Full Time/Part Time Full Time Number