1,878 structures-"https:" "https:" "https:" "https:" "https:" "The University of Newcastle" Postdoctoral positions in United States
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the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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physics of the quark-gluon plasma, low-energy phenomenology within and beyond the Standard Model, neutrino physics and astrophysics, nuclear astrophysics, nuclear structure, perturbative QCD, and quantum
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a
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or datasets for metabolite discovery from small molecule mass spectrometry (e.g., https://www.nature.com/articles/s41586-025-09969-x, https://www.nature.com/articles/s42256-021-00407-x, https://www.nature.com
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are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu https
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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recruiting postdoctoral researchers. The group integrates artificial intelligence, structural biology, and high-throughput experimental techniques to study sequence–structure–function relationships that shape
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling