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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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include algorithm design, prototype implementation (e.g., in Matlab/Python), deployment (to the agents’ autopilots using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A
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• Proficiency in MATLAB • A proven track record of peer-reviewed publications Preferred Qualifications • Expertise in high-speed turbulent flows • Experience developing novel measurement techniques in hypersonic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to program fluently in at least one common scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in sediment transport modeling. Preferred Qualifications, Competencies
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( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using MATLAB
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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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, seek input, change strategies) Significant experience with a research computing language such as R, Python or Matlab Experience working with human research subjects Preferred: Interest in human cultural
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with using e.g. MATLAB for image analysis. Capacity to work in an inclusive and respectful manner. What we offer We offer an interdisciplinary and dynamic working environment with a strong focus on
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real
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. Simulation Tools: Proficiency in simulation software (e.g., AnyLogic, SimPy, MATLAB/Simulink) to replicate waste management systems. Waste Management Processes: In-depth understanding of waste collection