68 Mathematics positions at University of Washington in UNITED-STATES in United States
-
, intellectual excitement, artistic pursuits and natural beauty. This position will serve in the Department of Mathematics Student Services Office, and will be a vital part of assisting our service-courses
-
assigned. Preferred Qualifications Statistical, mathematical, predictive modeling experience. Proficiency using at least one statistical software package and experience with forecasting and modeling. SQL, R
-
an excellent opportunity for an Executive Director of Washington MESA. WA MESA is a statewide organization committed to building pathways to college and careers in science, technology, engineering, mathematics
-
oncology setting. Must be able to demonstrate analytical reasoning. Must be able to perform mathematical computations. Required Qualifications Bachelor’s degree in Physics or related science degree is
-
to demonstrate analytical reasoning. Ability to perform mathematical computations. Required Qualifications Bachelor’s degree in Physics or related science degree. Two to three years' experience in medical
-
animals. Preferred Qualifications Knowledge of mathematical modeling via optimization with conventional and machine learning approaches. Experience with machine learning algorithms. Demonstrated ability
-
Scheduled Hours 40 Position Summary As the manager of the WashU IT deskside support team on the Danforth Campus, this role will implement efficient troubleshooting protocols, and provide hands-on guidance to deskside support technicians. The ideal candidate will develop training programs,...
-
the center of Earth to the rim of the solar system, and its activities cut across traditional disciplines of physics, chemistry, biology, geology, and mathematics. ESS faculty, students, and staff examine
-
which work is performed. Preferred Qualifications Must be able to demonstrate analytical reasoning. Must be able to perform mathematical computations. Required Qualifications Bachelor’s degree in physics
-
understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. Ability to analyze and interpret large complex data sets, such as genome sequences, microarray