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ongoing research to improve lead detection in laboratory and field settings for human biomonitoring studies and environmental surveillance. Two projects will be the focus of the first year: improving lead
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the robustness to address national security challenges in cybersecurity. In particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems
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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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relief. That thread is the need to manipulate objects in the physical world. Despite this being such an unassuming and seemingly innate skill, the fundamental principles of how one might unknot a tangled
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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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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