Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
offers the opportunity to work at the intersection of experimental neuroscience and computational data analysis, making it ideal for motivated individuals interested in pursuing graduate or medical
-
breeding program at Virginia Tech under the mentorship of the program lead, Principal Investigator (PI). The applicant is expected to develop and apply novel predictive breeding methods using high
-
initiative, and continuously learn from each admissions cycle. *Demonstrated proficiency with word processing, data merges, data management, and database programs. *Must have the ability to work and
-
management systems, and skilled in leveraging financial and budgeting tools to support program planning and resource allocation. Comprehensive organizational abilities, exhibit excellent interpersonal and
-
approximately 500+ computers, servers, and end users. This role serves a diverse user base with varying technical skill levels, including developers, analysts, researchers, and administrative staff. Support
-
existing expertise while providing opportunities to gain new skills in a collaborative and productive research environment. Required Qualifications - Ph.D. in Biology, Neuroscience, or a related field. PhD
-
include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
-
. Criminal conviction check required. Required Qualifications ● Bachelor’s degree in Business Information Technology, Computer Science, Information Systems or related field. ● 5 years of experience in
-
. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and
-
note: Sponsorship is not available for this position. Required Qualifications - Master's degree in a relevant area (e.g., Information Technology, Computer science, Data Science, User Experience