78 Electrical-Engineering positions at Missouri University of Science and Technology in United-States
-
research projects are provided. Academic rank and salary will be commensurate with training, current academic productivity, and experience. This is a great opportunity for a new fellowship graduate, but also
-
communication outreach Coordinate special recruitment events on-campus and off-campus with various stakeholders (current students, staff and faculty, alumni volunteers) to promote the university Utilize computer
-
. The Candidate will be evaluated on having their PhD in STEM Discipline Application Materials With your application, please provide a current CV, contact information of three individuals for references, and a
-
Engineer will be instrumental in the building of data, statistical modeling, and predictive reporting capacity of the university. In addition to supporting the general data operations of S&T, the ML Engineer
-
information about qualifications, research accomplishments, and interests · a current CV · contact information for three references. Application Deadline Open until filled. Benefit Eligibility
-
candidate will be expected to work with animal science faculty to enhance animal science technology research by examining the economic gains from technology adoption. Price discovery in livestock markets
-
facility and additional clinical programming. This position has the potential for programmatic development. Additionally, qualified candidates could be considered for leadership roles in current and future
-
Coordinate special recruitment events on-campus and off-campus with various stakeholders (current students, staff and faculty, alumni volunteers) to promote the university Utilize computer database to update
-
Job Description This is a tenure-track position in the School of Natural Resources (http://www.snr.missouri.edu ) with collaboration in the Division of Plant Science and Technology at the University
-
. Conduct literature reviews and stay current with advancements in soil moisture mapping techniques and machine learning algorithms. Collect, process, and analyze geospatial and remote sensing data related