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Department of Carnegie Mellon University has an exciting opportunity for a technical postdoc for work on making large language models (and similar systems) safe and reliable, especially in contexts where
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. The postdoc will work in a collaborative CMU environment spanning computational chemistry, AI, automated experimentation, polymer chemistry, and catalysis. Research directions may include: Developing automated
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functional imaging of the nervous system. The postdoc researcher will be advised by Prof. Chamanzar and will work with a large interdisciplinary team of engineers, scientists and physicians to demonstrate and
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Department in the College of Engineering. The postdoc will conduct computational research applying CALPHAD-based ICME techniques in combination with agentic generative AI to study the mechanical behavior
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of fetus hypoxia and prevent the adverse effects. The postdoc researcher will be advised by Prof. Chamanzar and will work with a large interdisciplinary team of engineers, scientists and physicians
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De Graef’s group in the Materials Science and Engineering Department in the College of Engineering. The postdoc will make use of the experimental and computational tools in the Materials
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significant impact on the world around us. Carnegie Mellon University’s department of Electrical and Computer Engineering is looking for a talented postdoc/research scientist to work on an innovative project
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. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
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combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: Successful background check Joining the CMU team opens the door to an array
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may be considered. Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits