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Details Posted: 10-May-24 Location: Pittsburgh, PA Salary: Open Categories: Academic/Faculty Internal Number: 136456 Carnegie Mellon University's Department of Chemistry is searching for a
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of “popular” transformer architectures for use on Neocortex. For this position, you will be developing and using different transformers in the Cerebras modelzoo for a variety of chemistry related tasks, such as
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should hold the degree of Ph.D. in the field of condensed matter physics, quantum chemistry, or computational materials science or engineering, and should have expertise in ab initio electronic structure
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architectures for use on Neocortex. For this position, you will be developing and using different transformers in the Cerebras modelzoo for a variety of chemistry related tasks, such as text summarization
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implementations of “popular” transformer architectures for use on Neocortex. For this position, you will be developing and using different transformers in the Cerebras modelzoo for a variety of chemistry related
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. Core responsibilities include: Assisting in the development of quantum machine learning, algorithms, reaction mechanism studies, and computational chemistry workflows for ultra-high throughput virtual
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identified by human’s ability to work with new material (Stone Age, Bronze Age), today our abilities and projects span a variety of materials and combine everything from physics and chemistry to civil and
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, communication, and interpersonal skills High initiative and ability to work independently Qualifications: Bachelor’s degree in any of the STEM fields. At least one year of experience in a biology/chemistry
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of the university through their work. Qualifications: Bachelors in chemical engineering, mechanical engineering, materials science, or chemistry required (masters preferred). 1-3 years of related work experience
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presentations. Qualifications: Ph.D. in Chemistry, Materials Science, Chemical Engineering, or a related field. Strong background in colloidal science, interfacial phenomena, or related areas. Proficiency in