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(Python, Java, C++). Comfortable working on UNIX/Linux platform. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications/Professional Licenses
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exported commodities from the Global South (sugar, cotton, coffee, tea, precious metals (gold/silver), opium and cereals). Your task will be to focus on the wide-ranging and diverse social consequences
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skills Knowledge of programming, either Python or MATLAB is considered mandatory, knowledge of Java is considered an asset Solid knowledge of transportation modelling, proved with indexed publications
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in observational work, help mentor graduate students, attend journal clubs/coffee meetings/colloquia at CCA and Rutgers. Funds for conference travel and professional development will be provided
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., C/C++, Python, Java, Go, Rust) A proactive attitude toward bridging research and practical implementation Sound publication track record in relevant international conferences and top journals
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analytical skills and experience integrating quantitative and qualitative data. Have good programming skills (e.g. in Python, SQL, Java, JavaScript, etc.). Ability to conduct high quality academic research
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how
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technologies is considered a strong asset Proven software engineering and coding skills (e.g., C/C++, Python, Java, Go, Rust) A proactive attitude toward bridging research and practical implementation Sound
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, Abilities, and Competencies Strong mathematical foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty