14 computing-"https:"-"https:"-"CEA-Saclay" Fellowship research jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
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
-
retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and
-
well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest
-
well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest
-
of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
-
deployment, and leadership skills. Function 3 Postdoctoral researchers are expected to: Lead research projects within one of the focus areas above. Publish in leading robotics, computer vision, and machine
-
technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them
-
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
-
computational biologists. Publishing research findings in peer-reviewed journals and present at scientific conferences. Mentoring and supervise graduate and undergraduate students in related projects
-
Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs