19 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML" positions at Virginia Tech
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
practices and procedures -Strong computer skills to include data entry -Some knowledge of query language, programs and office applications -Data analysis experience -Ability to process large volumes of work
-
in Hall C. If the candidate has experience with data analysis in the GlueX collaboration, we will consider the possibility to analyze data in support to the Generalized Parton Distributions program
-
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
-
resilience initiatives. This position plays a key role in ensuring smooth program operations by providing documentation support, marketing and coordinating events and meetings, assisting with reporting and
-
. - knowledge of high-performance computing environments and affiliated scientific tools and software. - a strong background in the Linux system administration, compiled and interpreted programming languages and
-
. The manager serves as a bridge between technical and functional stakeholders, regularly collaborating with program managers, finance, registration staff, and external partners to improve service delivery and
-
. • Experience with SQL compliant databases. • Familiarity with programming languages or supporting software developers. • Experience supporting research computing. • Experience with petabyte scale storage systems
-
Construction Engineering, Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field. Ph.D. in relevant engineering degree. PhD must be awarded no more than four years prior
-
The Division of Scholarly Integrity and Research Compliance (SIRC) at Virginia Tech supports the business management of the Human Research Protection Program (HRPP). SIRC is deeply committed to both
-
. • Experience with SQL compliant databases. • Familiarity with programming languages or supporting software developers. • Experience supporting research computing. • Experience with petabyte scale storage systems