416 developer-"https:" "https:" "https:" "UCL" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
analyzing large-scale language and speech datasets, learning to train or evaluate state-of-the-art language technology (LT) models, performing user-centric analyses to ensure these technologies are inclusive
-
evaluation, and technical advisory. Position Summary As a Machine Learning Research Scientist in the Frontier Lab, you will conduct applied AI/ML research and develop prototype capabilities that inform and
-
cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final
-
-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
-
capabilities and develop or acquire the right software, defect free, within budget and on time, every time. Position Summary: The main responsibility of this position is the operation, administration and
-
responsibilities include: Academic Support & Resource Referral Initiatives – Engage Tartan Scholars to support academic success, retention and personal development, including: determining and interpreting student
-
. Prepare, analyze, and contribute to financial reports, dashboards, and briefing materials for directorate and SEI leadership, highlighting key trends, risks, and recommendations. Support the Lead Financial
-
humanity. We are studying the bigger picture of computing in context in order to develop tools, policies, methods, and much more – all in the same making the world a safer, more equitable, better place to
-
supporting transformational system implementations in Research by developing and leading change strategies tailored to CMU's readiness. You will be collaborating with functional owners to identify change
-
-functional teams to frame and answer "big" strategic questions about research performance, resource allocation, and growth opportunities. Support CMU in the development of a holistic Research Data Analytics