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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 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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Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and
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desirable: Hands-on experience in electronics/electrical. Programming of Microcontrollers and embedded systems. Working knowledge of programming languages such ROS/ROS2, Python, C/C++ Programming, Knowledge
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++, Python, LabView) and firmware development. Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. Working experience with various development boards systems like
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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new
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the Q methodology dataset build an agent-based modelling (ABM) in python or Netlogo visualize and interpret results; prepare a short report or presentation at the end Your qualifications: background in
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is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming languages is preferred. Experience handling large next-gen sequence datasets is preferred. A
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Physics, Mathematics, and /or Engineering course work covering basic electromagnetics, vector calculus, and applications Familiarity with some of the following tools: Matlab; Python; and XFdtd/CST ARL
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from a variety of sources. Experience with different programming languages (e.g., Python, SQL, R) and statistical software (e.g., SAS, STATA) is essential. BACKGROUND CHECKS/CLEARANCES Employment with
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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based