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experience in Python and/or C++ Strong mathematical and analytical skills Has experience working collaboratively within a multidisciplinary team. Excellent oral and written communication skills as demonstrated
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for classes, in an undergraduate or graduate program in Computer Science, AI, Cybersecurity, Data Science, or a closely related field. Strong programming skills in Python. Knowledge of machine learning or deep
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design and setup materials for mechanical property tests. Data processing: Run Python-based code for testing data processing. Software Development: Contribute to the development of data processing tools
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or experience in writing mathematical proofs Coursework or experience in discrete mathematics, graph theory, or combinatorics Knowledge of Python, Sage, or LaTeX A willingness to learn new mathematical and
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experience in Python and/or C++ Strong mathematical and analytical skills Has experience working collaboratively within a multidisciplinary team. Excellent oral and written communication skills as demonstrated
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experience in Python and/or C++ Strong mathematical and analytical skills Has experience working collaboratively within a multidisciplinary team. Excellent oral and written communication skills as demonstrated
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. Basic proficiency in programming (Python, MATLAB, or similar) preferred. Familiarity with engineering simulation tools (ANSYS, COMSOL, etc.) is a plus, but not required. Strong written and verbal
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students who are awarded assistantships must be enrolled in undergraduate or graduate coursework during the terms of their appointments. Knowledge of Python and SQL Strong interest in cybersecurity and AI