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languages and platforms (e.g., C/C++, Python, real-time operating systems). Research experience in artificial intelligence, real-time control systems, or adaptive system architectures. Familiarity with
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), life cycle assessment (LCA), tech-economic analysis, accounting and evaluation (preferred). Ability to work with large datasets and proficiency in data analysis software (preferably Python, though
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility
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level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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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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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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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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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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renewable energy, e-mobility, or engineering Good programming skills (e.g., Python, MATLAB or R) Familiarity with control concepts Ability to work effectively with data and applied statistics Ability