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(SEBS) and various other departments, is seeking an outstanding Postdoctoral Associate. The Postdoctoral Associate will conduct specialized research on a collaborative project on the origin, evolution and
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
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postdoctoral research scholar position is available with the Modernizing Fertilizer Recommendations: Fertilizer Recommendation Support Tool, or “FRST”, initiative. This project has developed a relational
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that postdocs at MCW, with the assistance of their supervisor, will: Transition to career independence through the development of professional skills that enable the postdoc to actively pursue a career of his/her
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specifically for candidates with experience developing web-based interactive user interfaces for the above tools. Qualifications The University of Maryland offers highly competitive salaries with excellent
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well as strong quantitative and programming skills. Experience with virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting
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, with a strong emphasis on deployment in real-world clinical environments. We study how clinicians interact with technology and develop tools that are practical, intuitive, and aligned with clinical needs
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biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used
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- to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways
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. Conduct research on RNA-targeting type VI CRISPR-Cas systems. 15 % 2. Analyze research data and prepare manuscripts for publication. 15 % 3. Mentor and train undergraduate students in the lab. 5% 4. Prepare