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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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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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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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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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the following: Magnetic resonance imaging Python, MATLAB, C/C++ Excellent writing skills, as evidenced by first author publications Exposure to clinical MRI in general, with knowledge of brain tumor MRI
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expertise in one or more of the following: Magnetic resonance, electron paramagnetic resonance Hardware/software interfacing Python, MATLAB, LabView, C/C++ Mammalian cell culture and purification
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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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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and