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Field
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qualities The successful applicant will hold an MSc in Earth Sciences, Geology, Physics, or related field by the time the position starts. Good quantitative skills and programming experience (Python/MATLAB
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. Solid programming ability (Python, Go, Java, Solidity, TypeScript) and software engineering practices. Interest or experience with research collaboration with other researchers and external stakeholders
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. Solid programming ability (Python, Go, Java, Solidity, TypeScript) and software engineering practices. Interest or experience with research collaboration with other researchers and external stakeholders
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and RF electronics. Proven track record in writing international peer-reviewed scientific publications Moderate to advanced programming skills, ideally in Python Mastery of the English language, both
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knowledge of Machine Learning; Good knowledge of Signal Processing, Data Analysis, Probability and Statistics; Prior Experience in high-level Programming languages such as Python and MATLAB. Diversity, Equity
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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods
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/scientific fields; Programming experience in languages such as Python or C++; Knowledge of Nvidia Omniverse; Familiarity with AI or machine learning techniques applied to simulation, control, or optimisation
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, electromagnetics, remote sensing; familiarity with development of data analysis tools using, e.g., Python or MATLAB. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving
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, computer science, mechatronics, AI, or a related engineering field; Programming experience in current programming frameworks such as Python and C++; Understanding of control principles, algorithms, and 3D
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numerical analysis and partial differential equations, and you have experience in scientific computing or programming (e.g., Python). Knowledge of uncertainty quantification or inverse problems is welcome but