Sort by
Refine Your Search
-
Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
-
judgment and take necessary action to ensure selected suppliers are appropriate, terms of the agreement protect the University, value is optimized, and diverse suppliers are provided fair and equitable
-
, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
-
campus stakeholders to optimize the user Source-to-Pay (S2P) experience Meet regularly with campus constituents to identify savings and service opportunities, monitor contract compliance and facilitate
-
, and best practices to inform content strategy and execution. Reporting - Work with the social media team to analyze data and glean insights to optimize future posts. Other - Other projects and duties as
-
, and that employees are fully optimizing the benefits of the University. Ensure focus and progress on diversity and inclusion. Seek, create, organize and execute professional development and/or team
-
candidate will have experience in working with cross-departmental teams to devise new solutions and will be expected to leverage investment knowledge to ensure that new investments are optimally structured
-
. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer-Aided Design (CAD), and Manufacturing (CAM) are introduced in the classroom and online and then reinforced
-
, Research Systems and Critical Infrastructure, the position will provide IT support to ensure the optimal operation and reliability of critical systems, devices and applications used in laboratory animal
-
, optimization, and future transformation of our Human Resources Information Systems. This role will play a pivotal part in ensuring the accuracy, integrity, and usability of employee data across the organization