21 computer-programmer-"https:"-"https:"-"https:"-"https:"-"DESY" Postdoctoral positions at Texas A&M University
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Arts and Sciences and the broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in
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more, please visit https:// tla c .tamu.edu/ Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all
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future of the field of genome sciences and the world. To learn more, visit https://genomics.tamu.edu/ . What We Want We are seeking a highly motivated Postdoctoral Research Associate to join our team
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have those join us, who can help us in our pursuits. Learn more about us by visiting our website at https://www.arch.tamu.edu/cosc/about/ Why Texas A&M University? We are a prestigious university
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biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated
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foundation in modern biological sciences to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are
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learn more, visit https://idrt.tamu.edu What We Want The Institute for a Disaster Resilient Texas (IDRT) is seeking a highly motivated Postdoctoral Research Associate to contribute to cutting-edge
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research sponsors Other duties as assigned Qualifications: Required Education Ph.D. in Computer Science or a closely related field. Preferred Education Ph.D. in Computer Science or a closely related
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appropriate laboratory and/or technical equipment. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data, and perform other
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, computer science. Experience in data analysis using statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data