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computer science or related computational engineering disciplines. Experience with simulation frameworks for complex computer systems and architectures. Some knowledge of accelerator (CUDA, SYCL, HIP) and scientific
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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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to the formulation and submission of research publications and research proposals as well as help manage the complex and challenging projects in the group. Excellent interpersonal, communication, and documentation
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of our research program is to understand the neural circuits that underlie cognitive and emotional behavioral decision-making. Many of our research projects are focused on neuromodulatory circuits such as
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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critically and creatively to solve complex scientific problems. Ability to communicate complex scientific information clearly and concisely (orally and in writing), travel to meetings and conferences
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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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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer
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on the thermodynamic and mechanical stability of complex multifunctional oxide materials, zeolites and the design of active multitask highly active sites onto these supports media using cutting-edge computational
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Description Advertised Job Summary The candidate is expected to contribute to data-driven and mechanistic modeling as well as simulations of complex systems pertinent to the comprehensive NSF project