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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as
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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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Matlab or equivalent programming languages (e.g. R, Python) Database and project management skills Knowledge of statistical techniques Good information technology and computing skills and experience with
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sensing, or satellite data interpretation would be an advantage. The candidate should also have a solid background in programming (Python, R, or MATLAB) and data visualization, as well as the ability
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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB
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testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications
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Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications Educational Requirements: A Ph.D. in Chemical Engineering, Materials
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programming languages (e.g., MATLAB, R, or Python) Excellent communication skills You will have in-building access to mouse laboratories as well as access to state-of-the-art research equipment in metabolomics
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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: Will accept 48 months related experience in lieu of the Bachelor's degree for a total of 72 months experience Skills: Extensive computer programming/analysis experience in python, Matlab, R, or other