1,419 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Stony Brook University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Mar-26 Location: Stony Brook, New York Type: Full-time Categories: Staff/Administrative Internal Number: 2504147
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Robotics or a closely related field in hand by 8/31
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Mar-26 Location: Stony Brook, New York Type: Full-time Categories: Staff/Administrative Internal Number: 2600686
-
of various equipment in the Biology Learning Center, including cameras, computers, monitors, printers and other AV equipment. Serve as the primary liaison with DoIT and other specialists in the Life Sciences
-
addition, the incumbent will provide daily support to the Program Directors. The incumbent will assist the Directors in the development of internal and external communication materials. The candidate will be
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 03-Apr-26 Location: Stony Brook, New York Type: Full-time Categories: Staff/Administrative Internal Number: 2504588
-
totaling four (4) years may be considered. Three (3) years of full time experience processing payroll. Knowledge of payroll related laws/regulations. Experience with computer applications to include
-
totaling four (4) years may be considered. Three (3) years of full-time full time experience processing payroll. Knowledge of payroll related laws/regulations. Experience with computer applications to
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Robotics or a closely related field in hand by 8/31
-
, while collecting, analyzing, and interpreting both external and internal load metrics such as player load, distance, accelerations, and high-intensity efforts. Translate sports science data into clear