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lagoon and surrounding off-shore region. The project will also engage closely with Stanford Robotics to develop approaches for assessing deep water wrecks, supporting the development of the next generation
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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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through Stanford University, with experience in Vascular Biology to work on a project investigating the transgenerational impact of e-cigarette vaping on the development of abdominal aortic aneurysm
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to contribute to Dr. Gardner’s current research (link is external) , The fellow will also be expected to support the formation and development of research ideas that will emerge from a new, interdisciplinary
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to define the immune pathways that mediate the development of anti-factor antibodies in order to develop therapeutic strategies that evade or reverse the humoral immune response and promotes factor
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will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact
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physiological roles do these channels play in the eye? 3) Do these ion channels mediate the development of glaucoma and other ocular diseases? The successful applicant will lead a project investigating the role
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. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method