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Overview: We are seeking a part-time researcher (two days a week) to contribute to an integrated aircraft design framework focused on recyclability and remanufacturing. You will extend our Python-based
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis
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quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS; have the ability to plan and
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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devices. CDI synchrotron experimentation on devices experience. A working knowledge of a scientific computing language such as Python. Knowledge of quantum materials and the related underlying theory
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solvers; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC
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in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written
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learning, signal processing and big data, like Python. Interest or experience working in interdisciplinary environments and willingness to get involved in interdisciplinary projects, providing expertise