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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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operations are based on Linux operating environments, using Bash and Python, which means any successful applicant will have basic knowledge of the Linux operating system: file operations and navigating through
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. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and TypeScript. A solid foundation in machine learning, large-data
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES | Orleans, Centre | France | about 19 hours ago
Computer Science) and the BRGM Data and environmental teams, to achieve the goals of the JUNON project before September 2026. The successful candidate has proven experience in Python development, data integration
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/ job-specific abilities acquired through training e.g. Matlab, Python, Arduino, ESP32 programming or PCB development skill. Competent in soft skills / general personality traits e.g. information
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, control, optimization, FEA simulation and experience in robots and sensors will be considered. Proficiency in tools such as COMSOL, Abaqus, SolidWorks, AutoCAD, UNITY3D, Visual C++, LabVIEW, Python, and ROS
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, Economics, or a related field Expertise in Python, R, and statistical modelling Experience in handling large datasets (e.g., patent and publication datasets) and applying advanced analytical methods Strong
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programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication, organizational, and
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication