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Field
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, MATLAB programming skills Hands-on experiences of operating a glovebox, vacuum chamber for film growth Hands-on experiences of growing materials from solution methods. Hands-on experiences of laser
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in
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primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and
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or models) experience with computing languages such as python, R or MATLAB experience with presenting at conferences and writing manuscripts experience with leadership experienced at exhibiting independence
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and verbal communication skills in English • Proficiency in MATLAB and/or Python • Hands-on experience with rodent behavior and surgeries • Expertise in large-scale neurophysiology and histology
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policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days 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 | 7 days 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