-
review Characterizing and correcting for observer-, sensor-, and habitat-specific sources of detection bias The incumbent will have access to multiple datasets, including passive acoustic recordings from
-
/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences
-
. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
-
languages like Python or C, and or developing and/or using computational methods for analyzing large datasets. Demonstrated experience in developing computational algorithms for solving problems, preferably
-
typically require stable quantum bits with long coherence times, this research proposes innovative programmable algorithms that can harness the power of imperfect quantum simulators to tackle complex
-
Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy