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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
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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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
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following fields: Cognitive Science, Psychology, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary work across these fields, with an interest in
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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
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computational biologists. Publishing research findings in peer-reviewed journals and present at scientific conferences. Mentoring and supervise graduate and undergraduate students in related projects
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with biopolymers for composites Characterize mechanical, thermal, and structural properties of materials Work closely with interdisciplinary collaborators, including synthetic and computational
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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