20 finite-element-analysis Postdoctoral positions at George Washington University in United States
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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
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geospatial datasets. Salary will be commensurate with training level and experience. · Excellent data processing and analysis skills using Python, R, or similar programming language · Experience working with
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research teams – conducting literature reviews, data analysis (quantitative and qualitative), and drafting briefs and manuscripts, as appropriate A Postdoctoral Associate: holds a PhD or equivalent degree
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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
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; and ● has a limited term of up to five years at GW. In collaboration with experienced researchers, this role will participate in the planning and conduction of discovery research, data analysis and