32 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:" positions at University of Pittsburgh
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Software Developer II Med-Pathology - Pennsylvania-Pittsburgh - (25006421) Job Summary Contributes to the design, development, coding, testing, debugging, implementation, and maintenance
-
Interactive Design (DNID) program, which spans the School of Computing and Information (SCI) and the Department of English in the Dietrich School of Arts and Sciences (DSAS) at the University of Pittsburgh
-
, programing committees of conferences or workshops related to computer science, and departmental committees. Experience can be concurrent. Apply at https://www.join.pitt.edu , #25006611. Please upload a cover
-
Oracle Applications Developer Talent Acquisition - Pennsylvania-Pittsburgh - (25001501) Job Summary ORACle APPlications Developer The Pitt Information Technology (Pitt IT) department
-
carries a clear expectation to develop an independent, externally funded research program, including preparation and submission of NIH R01-level grant applications, alongside manuscript authorship and
-
integration with an active research program mentoring undergraduate and graduate students. The successful candidate will lead collaborative proposal development (30%), provide technical leadership for water
-
models. Essential Functions Requires the ability to visualize a computer screen, to work with computer hardware and software, to communicate verbally and in writing, and to use a phone. The candidate must
-
Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
-
, data visualizations, and models. Essential Functions Requires the ability to visualize a computer screen, to work with computer hardware and software, to communicate verbally and in writing, and to use a
-
Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan, execute, and troubleshoot research projects with attention to rigor and reproducibility. • Stay