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any of the following: Electrophysiology Multiphoton or confocal imaging Histology, CLARITY, in-situ hybridization Programming (Matlab/IgorPro/Python), electronics fabrication How to Apply: For full
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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expertise in microgrid modeling and controls in Matlab/Simulink or similar Demonstrated publication record Proven communication, time management, and teamwork skills This project is funded by the Department
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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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. Experience with software development in a scientific environment using Python, Ruby, Julia, R, or C++. Experience programming in Python, Matlab or similar tools Strong interpersonal communication skills (oral
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resources, distributed energy resources, distributed control and optimization, control system and theory, hardware-in-the-loop simulation. Good experience with one or more of the following tools: MATLAB
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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
processes from multiple emissions sources as represented in current models, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques