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Field
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stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
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-seq, CITE-seq, and/or multiome-sequencing data, along with genomic data integration. Interest in human genetics and autoimmune disorders. Solid background in both programming and biology. Strong
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by multiple orders-of-magnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems, including machine learning, to develop data and computing
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/17/2025 Job Summary Multiple postdoctoral positions (up to 4) in the areas of peptide chemistry/engineering, protein engineering/design, and biocatalysis are available in the laboratory of Rudi Fasan
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position is based on the Indianapolis campus location. Remote options, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
solutions to the world’s critical environmental problems. (2) To work in partnership across UNC and with external partners to coordinate and deliver 21st century educational programs that provide students
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
solutions to the world’s critical environmental problems. (2) To work in partnership across UNC and with external partners to coordinate and deliver 21st century educational programs that provide students
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future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world