428 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at Virginia Tech
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
• Ability to manage multiple tasks and exceptional time-management skills. • Ability to resolve issues in a timely manner and ensure smooth data collection appointments. Preferred Qualifications BS/BA in
-
local families who have consented to participate in research -Train research assistants on communication guidelines for recruitment -Coordinate Community Advisory board meetings -Schedule and coordinate
-
wherever applicable. Assessment activities may include a wide variety of tasks depending on the scope of the review and the IT capabilities within university departments (e.g. developing asset inventory
-
initiatives already underway. The Sr. Consultant will ensure those initiatives, with focus on organizational development, strategic leadership, and operational efficiency, are successful. Reporting
-
The Virginia Tech Academy of Data Science (ADS) (https://data.science.vt.edu) invites applications for multiple Professor of Practice faculty positions at the rank of assistant, associate or full
-
leadership. Responsibilities: • Serves as a field engineer reporting to the BAS Project Supervisor. • Liaison with other departments to develop, implement, and execute collaborative efficiency projects
-
a recruiter, you can have a direct impact on the talent acquisition process and play a significant role in creating the future of Virginia Tech. The Recruiter will lead in the development and
-
Job Description Career and Professional Development (CPD) at Virginia Polytechnic Institute and State University (Virginia Tech) is seeking candidates for an assistant director position
-
analytical and quantitative skills with knowledge of computer applications for data analysis and report development. • Experience independently drafting and editing correspondence, reports, and other documents
-
Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine