-
. Strong background in modern techniques in separation, including sample preparation, handling, instrument operation, and maintenance. An excellent record of productive and creative research as demonstrated
-
or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI
-
learning algorithms. Expertise in object-oriented programming, scripting languages, and modern software engineering practices for research codes. Demonstrated effective written and oral communication skills
-
, modern C++, and Linux-based development environments. Preferred Qualifications: Experience with point cloud processing and registration using libraries such Open3D or equivalent. Experience with LiDAR
-
performance tools Study the performance, resiliency, power, and efficiency of modern and future high-performance computing systems under various workload characteristics through measurement, modeling, and