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Field
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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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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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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analysis (e.g., R, Python, GraphPad) Research and Analytical Abilities: Experimental design and troubleshooting Complex problem solving and critical thinking Data interpretation and utilization Knowledge
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experience with R (possibly also Stata, Python or other statistical software) Excellent oral and written English-language communication skills Established record of population health research and scholarship
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python. 1–2 years of hands