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whole-body cancer detection. We are interested in both technical development and clinical translation pipelines, leveraging resources at the Lucas Center for Imaging, synergies across the clinical MRI
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substitution in the EGFRvIII peptide significantly increases survival in an animal model of glioblastoma by enhancing proteasomal processing. We also developed robust methods to detect a new class of non
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, submit the required application materials, or find out more information, please contact Dr. Brian Kim (kimjb at stanford edu). The position will remain open until filled. Does this position pay above the
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(link is external) ; https://www.science.org/doi/10.1126/sciadv.adm8680 (link is external) ). The data will be used to model exposure levels and potential impacts from any health-damaging pollutants co
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reveal the driving forces of macrophage polarization and to identify early-detection cancer biomarkers. It builds on our previous research revealing functional markers of human macrophages (Matusiak et al
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factors in community and clinical settings Effect of aging and other factors on bone health, fitness, and physical function Healthy aging Multi-cancer Detection Research (MCD): Blood-based biomarkers
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incidence rates have steadily grown since the 1990s, with kidney cancer becoming the sixth and ninth most diagnosed cancer for men and women respectively in the US. Kidney cancer, often detected incidentally
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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expectations. Two years being the strongly preferred term. The position is in person. You can find out more about our work on our research lab’s website: www.globalcapitalallocation.com (link is external) . A
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on hotspot detection. This modeling work is well supported by large-scale primary datasets, including survey-based, parasitological, serologic, and genomic data. Relevant methodologies include mechanistic