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, SiNAPS, NeuroNexus) probes—and viral-mediated, sub-type specific neural control in neonatal mice. These techniques are combined with network modeling, imaging and behavioral analysis to generate a complete
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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years at GW. In collaboration with experienced researchers, this role will participate in the planning and conduction of discovery research, data analysis and interpretation, preparation of materials
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of discovery research, data analysis and interpretation, preparation of materials for publication, presentations at conferences and meetings, and may develop new theories and methodologies. This role can expect
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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. Experience and training in longitudinal data analyses, particularly multi-level modeling and structural equation modeling. Proficiency in statistical analysis software (e.g., SPSS, R, MPlus, SAS). 2
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with experienced researchers, this role will participate in the planning and conduction of discovery research, data analysis and interpretation, preparation of materials for publication, presentations
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tolerance test · Metabolic studies In collaboration with experienced researchers, this role will participate in the planning and conduction of discovery research, data analysis and interpretation, preparation
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statistical analysis software (e.g., SPSS, R, or SAS and Mplus). 3. Excellent Communication Skills: Ability to communicate research findings effectively through oral presentations, conference talks, and written
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with the PI (Pérez-Losada), collaborators and graduate students. Compilation, generation, and curation of genomic and other trait data for selected barnacle species. Bioinformatic analysis of genomic data