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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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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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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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, interests, and alignment with the Lin Lab portfolio. The fellowship term is 1–2 years, with a preference for candidates able to commit to 2 years. Flexible work schedule Pay Range: $76,383-$115,000 Required
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positions, industrial group leader). Required Application Materials: A full curriculum vitae. A brief description of how your career goals align with our lab’s mission. Two references. Stanford is an equal
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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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team of multidisciplinary scientists. (3) Participate in regular collaborative meetings (zoom, hybrid or in-person) across multiple sites. (4) Publish findings in peer-reviewed journals and present
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genetic variation (Lee et al., bioRxiv 2025). This project will expand on this work by generating additional patient-derived models, performing comprehensive differentiation studies across multiple cellular
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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