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provide economic opportunities and align with regional wildfire-resilience and “just transition” goals. Propose how biochar can work alongside current economic opportunities like logging, recreation
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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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motivated self-starter who thrives in dynamic settings and has the ability to work independently with minimal supervision Experience working in interdisciplinary settings that combine multiple perspectives
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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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to shape projects aligned with their expertise and interests. Representative areas include: • Dissecting RAR RXR mediated transcriptional programs that regulate pancreatic inflammation and tissue injury
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Neurosciences at Stanford Medicine. These centers house multiple human MRI research scanners operating at 3 and 7T field strengths, as well as small-bore systems for specimen and animal studies at 7T and 11.7T
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arisen in multiple species, making it an ideal system for studying the origins of asymmetric divisions in evolution. We seek a Postdoctoral Researcher to contribute to this project by developing a
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, and collaborative adventure. Required Application Materials: A cover letter describing your research interests, how they align with SCENE, and why you are excited about this role (max 2 pages
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core facility; (4) testing compounds of interest in iPSC-derived neurons and (5) collaborating with multiple labs to coordinate further in vitro and in vivo testing of select compounds in preclinical