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aligned with project goals and local context (e.g., household-based lead exposure surveys and/or market-based surveys). Lead sampling design, ensuring representativeness and methodological rigor. Draft and
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mouse models. Utilize advanced technologies such as CRISPR/Cas9 gene editing, single-cell RNA- and ATAC- sequencing, single-cell spatial transcriptomics, and multiplex fluorescence imaging. Collaborate
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test the hypothesis that the targeting of multiple mutations will enhance survival in glioblastoma. We propose to identify an amino acid substitution that can enhance proteasome processing followed by
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Program at the Stanford Cancer Institute. She has an academic interest in Precision Medicine and her lab applies cutting-edge sequencing and imaging technologies to better understand skin cancer and rare
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experience. Desired skills: Gene and single cell analytics experience, behavioral tests, hiPSC cell culture, stem cell differentiation, hiPSC-derivative transplant, RNA Sequencing, viral approaches, and
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will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $86,100 Aligning Machine Learning
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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proposal opportunities for collaboration with one or multiple groups at Stanford. The initial appointment includes 3 years of support including salary and benefits. Applications and supporting credentials
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stakeholders, ensuring the research remains impactful and aligned with real-world needs. Finally, the postdoc will participate in disseminating research findings through presentations, talks, and publications