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acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications Strong programming skills (e.g., C/C++, Python, MATLAB) and
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acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications Strong programming skills (e.g., C/C++, Python, MATLAB) and
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materials testing, microscopy and data analysis. Experience in MATLAB and Python. Experience in high temperature behavior and deformation mechanisms of additively manufactured (AM) bi-metallic alloys
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interdisciplinary team. Excellent programming skills and proficiency in a programming language (e.g., C++, Python, MATLAB) and modern machine learning packages. In-depth theoretical and practical knowledge in
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, students, and external partners. Contribute to teaching, mentoring, and curriculum development. Knowledge, Skills, and Abilities Strong background in AI, GNC, and SDA. Demonstrated proficiency in C++, Python
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++, Python, MATLAB, and modern machine learning frameworks. Proven research record, including peer-reviewed publications. Excellent communication and collaboration skills. Minimum Qualifications Ph.D. in
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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, Python and/or Matlab). Excellent communication and ability to work in diverse teams. Strong swimmer, capable of snorkeling or diving for data collection as needed (see preferred qualifications below