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of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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Initiative (CZI). The developmental and physiological complexity of a given organism is not governed by the sheer number of protein-coding genes. In mammals, the numerous functional non-coding elements greatly
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), the world’s largest medical complex, is at the forefront of advancing life sciences. IBT is part of the Gulf Coast Consortia, which affords multiple opportunities for career development, access to state
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addition to core programs, members of the department also participate in the NSM college-wide Molecular Biophysics graduate training program, the Knoebel Institute for Healthy Aging, and the DU Evolution, Ecology
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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates
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regulation, and/or genome editing technologies. · Proficiency with experimental design, data analysis, and interpretation of complex biological datasets. · Ability to work independently while
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 08/05/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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The Chemical Sciences and Engineering Division is seeking applicants for a postdoctoral appointee who will conduct computational research in Selective Interface Reactions (e.g., atomic layer