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be combined with satellite observations, using machine learning and other modelling approaches, to improve methane emission monitoring efforts. The position includes field campaigns that the
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, systems integration). Perception and machine learning for robotics. Software design and development (C, C++, Python), including real-time and embedded systems. UAS operations (experiments, piloting
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Manufacturing Systems Lean Manufacturing / Logistics and Industry 4.0 / 5.0 Discrete Event Simulation Methods, Agent Based Simulation & Technologies Machine Learning, AI, LLMs & Data Science for
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structural data streams. Strong documented skills in advanced statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use
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utilizing various remotely sensed products across scales, including both spectral and structural data streams. Strong documented skills in advanced statistics, AI and machine learning methods, including
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simulation engines. Familiarity of machine learning / AI techniques and custom LLMs generation is beneficial. Knowledge of life cycle assessment (LCA) and LCA methods, carbon accounting and Carbon Direct