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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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required (e.g., Python, Mathematica, Matlab). Some knowledge of nonequilibrium statistical mechanics (Boltzmann and Vlasov equations) and magnetism (spin dynamics, Landau-Lifshitz-Gilbert equation) is
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to the development and maintenance of science data processing pipeline solutions. This role suits an expert Python programmer with experience in scientific workflows and high-performance computing (HPC), who thrives
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in the CARLA driving simulation platform and using various map APIs; (d) possess strong programming skills in Python, Java and other languages; and (e) demonstrate solid capabilities in system
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science skills. Large datasets comprising up to many millions of data points are compiled, cleaned, processed, analyzed and interpreted using Python and R. Many tasks are performed using Princeton's high
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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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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. You will extend our Python-based aircraft design tool, enabling modular designs that incorporate recycled materials and components. Working closely with our industry partners, your work will support
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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in