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Field
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, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Work Collaboratively, Working Independently Questions For frequently asked questions about the application process, please
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. Proficiency in programming and data analysis using tools such as Python, MATLAB, GrADS, or similar platforms. City: New Brunswick State: NJ Location: Rutgers University - New Brunswick Create a Job Match for
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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Radiation Transport techniques, and signal processing. Certificates/Credentials/Licenses Computer Skills Knowledge and experience of programming skills: (MATLAB, Python/C++) Monte Carlo simulations (ex
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approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
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in data analytics and statistical methods, particularly using tools such as R, Python, or other relevant software. Experience with Data Visualization & Programming: Expertise in data visualization
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with