-
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
-
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
-
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
-
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
-
. 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
-
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
-
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
-
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
-
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
-
Perform immunoassays, flow cytometry analysis, mammalian and bacterial cell cultures, DNA preparation, and protein purification. Plan and schedule experiments consistent with the timeline and objectives