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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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activities focused on the analysis and modeling of complex biological and health-related data. The successful candidate will demonstrate strong programming skills in Python, R, and/or MATLAB, with the ability
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that connects engineering and clinical application. You have programming experience in Python, MATLAB, or similar languages. You are motivated, collaborative, and communicative. Additional Information Benefits
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highly desirable. The successful candidate should also have experience with data analysis tools (Python and/or MATLAB), and ideally be familiar with the challenges associated with imaging biological
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samples (cell culture) and/or nanomaterials is an asset -experience in scientific programming and data analysis using Python and/or MATLAB -ability to work in an interdisciplinary environment and to
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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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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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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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, PCR machines, shaking incubators and plate readers. Coding skills in python or MATLAB are also advantageous, but not required. Equipment Utilized Physical Demands and Work Environment Physical Demands