Sort by
Refine Your Search
-
computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
-
implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
-
position is on a 9-month service period with an anticipated start date of Sept 16, 2025. This position is aimed at recruiting an exceptional candidate in the field of physics-based Machine Learning
-
society by engaging in excellent teaching at the undergraduate and graduate levels, supporting and enhancing learning for students from diverse backgrounds. CSS is among the largest computer science
-
analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
-
) level. This position is specifically focused on teaching courses in data-driven engineering, machine learning, dynamics, and control. This position is on a 9-month service period with an anticipated start
-
of the following areas of interest: quantum control, machine learning to optimize QIST systems, quantum machine learning, and quantum mechanical/acoustic systems. The UW Mechanical Engineering Department has
-
programs, supervise graduate students, engage in excellent teaching at the undergraduate and graduate levels, and to support and enhance learning for students from diverse backgrounds. CSS is among
-
treatments using machine learning, R/Python and Google Earth Engine. Selected candidate will use cartographic principles and conventions sufficient to create maps for external and internal use that display
-
expertise in AI-based optimization and machine learning applied to biological systems. - Experience with Agent-based modeling, and PK/PD modeling - Experience working with diverse, multidisciplinary research