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. This position requires deep expertise in Fair Value Measurements (ASC 820) and a strong understanding of endowment accounting and complex investment vehicles as well as high ethical standards and a fiduciary
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are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and
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needs. Project background We are excited to announce an interdisciplinary PhD opportunity focused on mechanochemical processes driving radical formation and redox cycling in the deep subsurface, with
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physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
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The Stanford Center on Early Childhood seeks a full time Senior Researcher to join our team. The Senior Researcher will work under the general direction of the Director of Learning and Evaluation to develop
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thrive in their learning, leadership, and service. We strive to create a more representative workforce that mirrors the people who study, work, and lead our institution and welcome applications from
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learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use their voices to full
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description UCSF
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). Experience with training operations for large-scale computing systems and ticketing/trouble management systems. Required Skills, Knowledge and Abilities: â— Architectural Knowledge: Deep understanding
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in