Sort by
Refine Your Search
-
of computer analysis and simulation code in support of space physics research. 65% Assisting with space physics research, including implementing, testing, editing and running data analysis and simulation code
-
records, following the University’s policies and best practices. Coordinate the Academics Team and Learning Resources Group in implementing annual updates to the student handbooks. Schedule and prepare
-
Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
-
, strategic budgeting and facilities management Strong computer skills and experience in Word, Excel, database management and reporting in a computer network environment Evidence of experience in writing
-
one or more years of research experience Experience with learning analytics or machine learning research, as well as eye tracking expertise Proficiency with managing data sets. Ability to collaborate
-
(National registry or MN) PA or RN licensure or other related experience (military medic, sonograpgher) 3 years experience in an advanced patient care setting (EMS or Emergency Medicine preferred) Flexible
-
statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
-
entered in database by graduate students and address errors or concerns. Keeps inventory of all computer equipment and usage; coordinates equipment updates Provides troubleshooting, verification, testing
-
respecting the integrity of each study. Must be able to learn and understand how genetic manipulations support specific studies and how they affect animal health. Must be able to accurately assess pain in all
-
well as virtual experiences. This position sits within the operations department and collaborates closely and on a daily basis with other internal teams, including Public Engagement and Science Learning