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Field
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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is $76,383. Position Title Postdoctoral Research Associate, Vascular Biology Position Description The Spin research lab at Palo Alto Veterans Health Care is seeking a Postdoctoral Fellow to be hired
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to uncover underlying biological principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data
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Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression
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(e.g., Relion and cryoSPARC) are provided by USC's Center for Advanced Research Computing. Qualifications: Candidates must hold a Ph.D. in Chemistry, Biochemistry, Biophysics, Structural Biology
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Hematology Division. This position is involved in studies aimed at defining the biology of acute myeloid leukemia stem cells. Specifically, the Fellow will help investigate the role of metabolism in
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
/Description: This Postdoctoral Trainee position is available through a NIH T32 training program, designed to train promising early career investigators. The Postdoctoral Trainee will investigate the kinetics
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of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal