491 computational-physics "https:" "https:" "https:" "https:" "UCL" positions at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
national resource in software engineering and computer security. SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our
-
of International Education, EM Marketing & Communications and Enrollment Systems. Collaborate with strategic campus partners such as Institutional Effectiveness & Planning, Computing Services
-
challenges. Requirements: Enrolled in a degree granting program. Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community. You will be
-
generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research
-
to support and help guide graduate admissions for the Master of Science in Software Management program. This advanced position is ideal for someone with deep experience in holistic evaluation, strong
-
eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions
-
, or presentation; writes technical reports. May build and validate quantitative models. Identifies problems and obstacles to progress; develops strategies to solve problems. May program software in support of job
-
for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
-
. Familiarity or expertise in formalization and computer-aided reasoning in mathematics is an added plus. Exceptional candidates in all areas will also be considered. In general, preference will be given
-
models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer