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Field
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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mechanisms from patient samples, collaborative discovery of anti-infective therapeutics, and bacterial pathogenesis. This position provides broad training to develop independent, highly motivated scientists in
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that apply: ☒Sitting at computer work station for long periods of time ☒Standing for long periods of time ☒Risk of back injury from moving/lifting, equipment, or materials ☐Repetitive motion ☒Lifting/Carrying
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motivated and creative Postdoctoral Research Associate to join our lymphoma research program. The successful candidate will work at the interface of cancer biology, functional genomics, and translational
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and computational studies of mechanics of materials, with an emphasis on fracture prediction. In addition, the postdoc will contribute to and/or lead manuscript preparation and project reporting
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. This position offers a unique opportunity to contribute to ongoing projects on movement biomechanics, 3D printing, mixed reality, and mechanical testing and drive the future of this program through
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studying deformation mechanisms in refractory alloys as via atomic-scale calculations as well as application of machine learning to materials discovery The ideal candidate will have the following
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questions in ribosome biology. Our research is centered on understanding the mechanisms of protein synthesis and translational control in health and disease. The primary focus of the lab is to elucidate how
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ceramics, leading to incorporation into robust nuclear performance codes for nuclear reactors. Candidate will perform/analyze mechanical testing of irradiated ceramics, finite element computations, 3D