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evolutionary genetics/genomics, molecular laboratory techniques, and field-based research. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found
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Qualifications: Ph.D., M.D. or equivalent terminal or doctoral degree in Biological anthropology, Ecology, Evolutionary biology, Environmental microbiology, or a related field Experience with field data collection
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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established SOPs for new and existing molecular sequencing technologies, computational algorithms. Prepares and reviews papers on research. Develops new algorithms for analysis of RNA FISH, DNA FISH, and neural
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collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans and/or non-human primates. Job duties will be adapted
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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collaboration with supervisors and other scientists to study how global biospheres alter planetary processes in ways that are remotely detectable. This research will involve: Using biogeochemical evolutionary
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either back-end Java development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life