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, and mechanistic biology to define the function and druggability of proteins. We are seeking a postdoctoral candidate with expertise in mass spectrometry and molecular metabolism. Additional expertise in
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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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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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO, RedCap). Conduct field monitoring and troubleshoot real-time data
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the development of natural and built urban systems and human-system collaborations. Successful candidates will be expected to define an independent research agenda and to work closely with Stanford University
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provision in education matching markets computationally tractable approaches to school redistricting with choice aggregating community feedback on resource allocation policies. Projects will be defined and
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and transmission network modeling is useful but not necessary, as long as the candidate is willing to learn on the job. A list recent and past research projects on electricity market design undertaken
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biochemistry and biophysics directed at the discovery and development of new antibacterial therapeutics targeting difficult-to-treat bacteria. More broadly and coupled to drug discovery, we define the molecular
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EGFRvIII can enhance survival. Work will also be done to define how PCPS enhances specific components of the immune response utilizing single cell sequencing for the TCR and transcriptome on the CD8+ T cells