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Reality and/or physiological sensing Programming skills for research prototypes and data-driven systems (e.g., Python, Unity, web technologies, or similar) Experience with user studies and experimental
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is an advantage. Experience with programming (e.g., R, Python) and statistical analysis is highly desirable. Motivation to work in a collaborative, interdisciplinary research environment and good
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. Proven hands-on experience with (aerial) robot development, and testing. Experience with hardware integration, embedded systems, sensor fusion, CAD design, is highly desirable. Proficiency in C++, Python
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programming (e.g., Python, MATLAB, or similar). Experience with image analysis and/or AI methods is a plus. Strong analytical and problem-solving skills. Ability to work independently as well as in a
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analytical techniques affinity with numerical modelling (Python, R, Aspect) excellent ability to communicate in both written and spoken English good social skills. As a university, we strive for equal
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science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge of physics or biophysics. Knowledge
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; Programming in C, C++ and Python. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment
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models, machine learning, infrastructure management datasets, simulation-based decision support, multi-agent systems, or reinforcement learning. Good programming skills, preferably in Python, and
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with consideration of dynamic constraints, perception uncertainty, contact interactions, or real-world deployment. Strong programming skills in C++ and/or Python, with experience in robotic software
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data fusion, signal decomposition/unmixing, incremental/few-shot learning, and conformal prediction. Academic or professional proficiency in Python and its core scientific/ML frameworks: TensorFlow, JAX