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multimodal MRI data from children with NF1 using the Siemens Cima X scanner at Stanford’s Lucas Center for Imaging. The position sits at the intersection of advanced neuroimaging methods, longitudinal clinical
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mentoring access to have breadth of talented affiliated faculty members and consultants (e.g., Mirko Uljarevic, MD, PhD). Didactic and hands-on training in many theoretical and applied areas of research will
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there is sufficient evidence to file formal charges. When deemed appropriate, file formal charges and inform responding students of charges, the evidence upon which charges are based, and the names
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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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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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methods from econometrics. The project extends the work of Proctor and colleagues (Nature, 2018, https://doi.org/10.1038/s41586-018-0417-3 (link is external) ) to other impact variables. Impact variables
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mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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effective planning and time management Demonstrated ability to complete projects, e.g., co-authorship in peer-reviewed publications or other formal metric of project completion. Familiarity with the following
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era