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in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life
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To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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pipelines and R, Python and/or command-line tools; a strong publication record appropriate to career stage, demonstrating scientific excellence and the ability to lead high-quality research through
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engineers (technical staff) will assist the PostDoc for all what concerns hardware/software development and maintenance of the robotic platforms. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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Description SUMMARY : Texas A&M Transportation Institute seeks a Software Engineer I to work in Bryan, Texas. Must apply at: https://tamus.wd1.myworkdayjobs.com/TTI_External . JOB DUTIES: Develop routine and
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a