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skills, particularly in Python, and experience with image analysis and visualization tools. Familiarity with deep learning approaches for segmentation and data processing. A collaborative mindset and
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in Python are essential, along with good writing and communication skills in English. The ideal candidate should demonstrate initiative and be comfortable working collaboratively in a team setting. A
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to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
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aeroelastic code HAWC2. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc). Ability to work both independently and as a part of a team. Excellent communication and writing skills
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools Experience with satellite remote sensing, including both optical and radar techniques You must have expertise in data
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Programming skills (particularly in C++ or Python) Simulation Experience with automation hardware and software. Strong mathematics skills and practical knowledge in 3D modelling. Preferably, the candidates have
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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with AI/ML implementation, particularly for sensor data processing, feature learning, or autonomous system control Solid software development skills in languages such as Python, C/C++, or similar, with
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning