267 evolution "https:" "https:" "https:" "https:" "https:" "Leiden University" uni jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
agreements, service agreements, vendor agreements, and other agreements as required. 2. Team Leadership and Staff Development Lead and support the day-to-day work of the Contracts Team, including workload
-
, and produce actionable recommendations. Prototype capability development: Build research prototypes, evaluation harnesses, and reference implementations that demonstrate feasibility and generate
-
the design, development, and delivery of tailored learning solutions for global clients across the public, private, and nonprofit sectors. This is a pivotal growth role with significant autonomy. The Director
-
communication skills, a passion for student development, and a collaborative spirit to work closely with the Visitor Experience team in delivering exceptional campus visits. The Office of Enrollment Management is
-
responsibilities include: Educating and caring for young children, encouraging their individual growth and development. Organizing a cohesive program and communicates the Center’s philosophy (Reggio Emilia Approach
-
develops and uses best-in-class tools to enable end-to-end software development? We are seeking a PLC Software Development Engineer to join our engineering team. The ideal candidate will have strong hands
-
Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you’ll do Reverse engineer malicious code
-
research and prototype capability development for government and DoW missions. This role spans the research-engineering spectrum: some SR MLRS hires may lean more research-heavy and others more engineering
-
the state of the art in security at a national and global scale. The DIT Software Engineer intern will contribute to a variety of core functions including: Software Design and Development of AI applications
-
As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we