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), mechanical testing, or non-destructive evaluation of metals and alloys. Hands-on experience skillsets with finite element methods (ABAQUS), programming languages (Python, MATLAB, C++), experience in signal
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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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., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking. Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS
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analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting
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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