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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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include: -Other experience in mass spectrometry -Strong statistical and analytical experience with data treatment -Coding experience in either R or Python -Other experience in analytical chemistry and/or
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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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vision and novel applications of machine 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
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, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be
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, motivated, creative, organized, and able to work independently Preferred qualifications: • Experience with research methods in developmental science • Experience with R, Python, or related programming
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software engineering and reproducible science. This position offers the opportunity to: Contribute to impactful open-source projects and advance AI research using technologies such as Python, C++, TensorFlow
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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neuroscience. - Proficient with programming in Python and/or Matlab. This position is subject to the University's background check policy Princeton University is an Equal Opportunity and all qualified
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is