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experience - Interest in learning programming skills, particularly in the languages used in computational research applications (e.g. Python, R, Julia, C/C++, Rust, JavaScript). - Ability to work in a team
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development, etc.). Proficiency in programming languages like Python and C++. Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn
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/debug software Basic skills in Python, Matlab, R or other programming languages Princeton University is anEqual Opportunity and all qualified applicants will receive consideration for employment without
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-centric environment. Ability to run base code/scripts and troubleshoot/debug software Basic skills in Python, Matlab, R or other programming languages Princeton University is an Equal Opportunity and all
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or high-level programming language, like Python or Java Knowledge of statistical packages, including STATA, SAS, and/or R Knowledge of standard internet tools and HTML Familiarity with standard political
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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Strong background in Computational Design Excellent programming skills (primarily Python, but C# and C++ also desired) Good knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its
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learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https://puwebp.princeton.edu/AcadHire/position/36664
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development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub