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in the Materials Theory, Informatics, and Design Group, led by Professor Liping Yu in the Department of Materials Science and Engineering at the University of Central Florida. The successful candidate
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resource economics, or a closely related field, at the time of appointment. Preferred qualifications The ideal candidate(s) should have training in economic theory, econometrics, and/or other quantitative
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(required at time of start) PhD in Physics, Computer Science, Bioengineering, Ecology, or a related field required at the time of appointment. Preferred qualifications ● Coding fluency in Python for machine
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further development through activities such as: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data
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interviews, coding data, writing, and giving talks focused on the project proposed for the position. 25%: Support research endeavors undertaken by Dr. boyd. This includes conducting interviews, coding data
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impacts in the energy, agricultural, pharmaceutical, and transportation industries. Specifically, the ICC has dedicated research efforts in molecular and solid-state electronic structure theory
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. You should have expertise in algorithm design and high-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis
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theory and practice is a plus; prior experience with development of measurement tools is a plus; excellent problem-solving skills and the ability to work independently as well as collaboratively; a team
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the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and sequence alignment methods is
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develop novel computational methods and tools for predicting functional non-coding mutations in the cancer genome. These methods will integrate diverse sources of biological information, including the