13 algorithm-sensor-"Zintellect" Postdoctoral research jobs at University of Washington
Sort by
Refine Your Search
-
Position Overview School / Campus / College: College of the Environment Organization: Earth and Space Science Title: Postdoctoral Scholar in Multi-Hazard, Multi-Sensor Monitoring at Mt Rainier
-
Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency
-
interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
-
implement algorithms, models, and software applications that can be translated to clinical use. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be
-
including (but not limited to): Design, deploy, and maintain environmental sensor stations, including quarterly travel for installation and servicing to flood prone regions in Illinois and Mississippi. Apply
-
methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
-
sensors. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under
-
of the two cables, conventional multiplexed DAS on the first span, and contemporaneous recordings from a rich suite of oceanographic, seismic, and acoustic sensors on the OOI RCA. Potential areas
-
or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
-
data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and