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pathology. The successful candidate will gain expertise in stem cell biology, genome engineering, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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isolation, library preparation, and analysis and interpretation of genomic data. A deep understanding of bulk and single-cell sequencing assays is highly desirable. Familiarity with brain development, brain
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protein biochemistry and/or cryo-electron microscopy, including at least one of the following: single-particle analysis, cryo-ET, or 2DTM. This position is ideal for researchers who want rigorous training
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. The current project uses structural neuroimaging to guide DBS lead placement and optimal DBS settings, as well as kinematic analysis of behavioral motor tasks. Additional projects include the development of a
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urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications. The program will also provide fellows with training in
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will bridge data, operations, and policy to integrate forest-management realities with the use of biochar technology as a wildfire mitigant and ultimately provide analysis to its economic feasibility
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domestic and international travel) Leading data management Leading data analysis Developing research materials (e.g., intervention materials, measures, forms, project newsletters, and recruitment scripts
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis