Sort by
Refine Your Search
-
of responsibility (in conjunction with the University Central Offices). Ensure the optimal integration of the Rutgers Health Office of Financial Aid into the Rutgers Health Office of Academic Affairs and oversee its
-
of depression, emotion dysregulation, and suicidality among adolescents and young adults of color. Among the key duties of the position are the following: Supports the CODA (Culturally Optimizing DBT-A) project
-
initiatives designed to enhance current and future clinical research services. This includes identifying opportunities for innovation in research methodologies, optimizing workflows for improved efficiency, and
-
Multi-Year Strategic Modeling tool. Partners with OIT, Data & Analytics, Financial Planning & Analytics and UCO staff to optimize forecasting capabilities and data pipelines. Advances multi-year strategic
-
the University’s data network (RUnet), Voice over IP (VOIP) and other systems. Designs and plans outside plant fiber optic networks, including routes, splice points, and equipment placement, ensuring optimal
-
, and performance evaluation) and plays a vital role to continually optimize all of these functions. Develops Departmental financial policy including the annual budget process, financial strategies
-
Services to optimize reporting processes and enhance data accessibility and interpretation. Serves as a resource to junior staff and peers by providing technical guidance, quality review, and training
-
, engaging them in the accountability of care, and improving patient experiences and outcomes. Addresses the medical, nursing and or personal care needs of the patient to enable their return to an optimal
-
-driven optimization, complex systems modeling, and applications are especially encouraged to apply. Synergies with strengths in Energy, and Controls, will be viewed positively. Successful candidates will
-
, and security frameworks through close partnership with OIT. Applies strong hands-on expertise in SQL, optimization, indexing, normalization, modern ELT/ETL approaches, and cloud-scale data platform