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Technology, or equivalent degree with an electronics focus At least two (2) years of experience with analog circuit PCB design and Python programming Familiarity with circuit design expertise for small signal
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of Science, Mathematics, Computer Science, or a closely related field. Demonstrated computational expertise (e.g., Python, network analysis, data wrangling). A research profile that engages with questions
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: Statistics, NI LabView, C++, python Additional Information: Purdue University will not sponsor employment authorization for this position A background check will be required for employment in this position
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, and techniques including Python/C/C++/Java, scripting languages such as Shell, databases (SQL), or web applications working with researchers to integrate computing techniques into research activities
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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languages for automation are Python and Ansible. This is a unique opportunity to progress your career and learn using enterprise network monitoring tools and troubleshooting equipment. Additional Information
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Purdue’s AI initiatives. Education Skills Required Strong foundation in data science, including statistics, modeling, and data analysis. Proficiency in Python and experience with common libraries such as
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Purdue’s AI initiatives. Education Skills Required Strong foundation in data science, including statistics, modeling, and data analysis. Proficiency in Python and experience with common libraries such as
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; soldering; and LabVIEW, Matlab, Python, or other computing languages Basic understanding of analog, digital, and serial data communication Who We Are: Purdue is a community built on collaboration, with global
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using common programming languages, tools and techniques including Python/C/C++/Java, scripting languages such as Shell, databases, or web applications working with researchers to integrate computing