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, physics, or a related field Strong programming skills in Python and scientific computing in a Linux environment Strong expertise in machine learning and deep learning, including experience developing
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allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with
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master exam before 30.06.2026. It is a condition of employment that the master's degree has been awarded. Good programming skills (Python, Matlab or Julia) are a requirement. A solid background in
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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++ and Python. Experience with ROS is a plus Extensive hands-on/practical experience on developing, implementing and/or testing robotic systems Personal characteristics To complete a doctoral degree (PhD
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to find and utilise new data sources. Proficiency in Stata, R, Latex, or Python, etc. Proficiency in a Scandinavian language (Norwegian, Danish, or Swedish). Relevant experience in teaching. Experience with
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
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control Deep foundation in modern machine learning Solid programming skills in C++ and Python. Experience with ROS is a plus Extensive hands-on/practical experience on developing, implementing and/or
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in remote sensing with satellites Experience in Python, Julia
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proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills in English Candidates without a master’s degree have until