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Here’s a Glimpse of the Job Texas A&M’s Biology Department is seeking a Postdoctoral Research Associate who, under general supervision, will conduct research focused on the functional and evolutionary
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Job Description Required Qualifications: (as evidenced by an attached resume) * Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or a closely
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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, evolutionary biology, machine learning, mammalian cell culture, or sequencing technologies. Wet Lab Applicants: • Minimum 1 year of molecular biology research experience preferred Computational Applicants
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computational biology. About the Department The Institute for Genomics and Evolutionary Medicine (iGEM) was established at Temple University in 2014, anchored in CST, and associated with the Department of Biology
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Sign In Create Profile Research Technician II, Ecology & Evolutionary Biology (Part Time) Tucson, AZ, United States | req26848 Apply Now Share Save Job Posted on: 8/21/2026 Back to Search Research
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
evolutionary biology and genetics. Routine responsibilities will include conducting animal-based and genomic experiments, developing and implementing experimental and computational analysis pipelines, performing
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to address important questions in evolutionary biology, genomics, and biomedicine. · Design and implement advanced computational frameworks for analyzing large and complex genomic datasets across