93 computational-physics "https:" "https:" "https:" "https:" "IFM" research jobs at Carnegie Mellon University
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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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bioconjugation and polymer processing. Core Responsibilities: Develop strategies to tune the physical and chemical properties of proteins through chemical modification Develop methods to compatibilized proteins
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an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Chemical Engineering or related field; Interdisciplinary strength in Process
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of the research process. Your work will be supervised by Dr. Matthew Denes (Assistant Professor of Finance, Carnegie Mellon University). Core responsibilities include: Obtain and manipulate data from various
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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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manipulation with physics-based simulation in the loop. Mentoring graduate and undergraduate students. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon
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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
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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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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