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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
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experience Consideration will be given to an equivalent combination of required education and related work experience Programming experience using Python, JavaScript or Java Experience developing and consuming
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one or more relational database systems such as MySQL, PostgreSQL, or MS SQL Server Strong programming skills in Python, SQL and related data transformation tools Experience with data architecture
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present data effectively. Programming/Coding: Basic knowledge of programming languages relevant to data analysis (e.g., Python, R, SQL) is highly valuable. Preferred Qualifications: Familiarity with
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simulation tools (e.g., ANSYS, COMSOL, Abaqus, or similar) Strong programming and data analysis skills (Python, MATLAB, C++, or equivalent) Familiarity with machine learning frameworks (TensorFlow, PyTorch
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Python programming Familiarity with circuit design expertise for small signal, ultra-low noise measurement electronics Familiarity with ultra-low noise current and voltage amplifiers or other instruments
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to Innovations I & II. These courses focus on the engineering design cycle and programming languages, specifically MATLAB and/or Python. Based on enrollment needs, the continuing lecturer may teach other courses
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to Innovations I & II. These courses focus on the engineering design cycle and programming languages, specifically MATLAB and/or Python. Based on enrollment needs, the continuing lecturer may teach other courses
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, Python, and Kepware. What We Would Like You to Know : All new hires will be expected to follow Protect Purdue Purdue University will not sponsor employment authorization for this position A background
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proposing solutions Preferred Data analysis experience HTML/CSS knowledge Interest in online teaching and learning Familiarity with programming (Python) Work Conditions Hours: 10 hours/week. Working hours