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, statisticians, and computational biologists, as well as graduate and undergraduate students. The ideal candidate will have a Bachelor’s degree in Biology, Genetics, Bioinformatics, Evolutionary Biology
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context. The successful applicant will have the opportunity to develop an autonomous line of research related to the interests of the lab in evolutionary genomics. Motivated applicants with a strong
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optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms
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communication theory, signal processing, and wireless communications, • Extensive experience in physical (PHY) layer algorithm design and performance analysis, • Proven track record
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and molecular simulation experience. A solid background in simulation algorithms and experience in advanced scientific computing are highly desired, as is a solid background in chemistry or biophysics