40 parallel-and-distributed-computing Postdoctoral positions at Carnegie Mellon University
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areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain areas that mediate behavior. Successful candidates will have
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design, robotics, computational engineering, advanced manufacturing, and bioengineering. In addition, they are using their expertise in interdisciplinary research centers across the university. We
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data collection. Flexibility, excellence, and passion are vital qualities within the School of Computer Science Research Department. Inclusion, collaboration and cultural sensitivity are valued
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to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can
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Details Posted: 19-Feb-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 121407 A postdoctoral scholarship is available for an outstanding researcher broadly experienced in graph mining and machine learning with a preferred focus on neural network based data modeling and...
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areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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specialists and the Open Science & Data Collaborations program at Carnegie Mellon University Libraries, where we are working to investigate and promote open science principles and methods towards a more