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.) and proficiency in data analysis software (such as R, Mplus, SPSS). Extensive experience interpreting research data and summarizing findings via written reports and oral presentations. Strong record
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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time
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, psychology, or equivalent statistical genetics expertise and hands-on experience with high performance computing and big data analysis skills in programming and scripting languages (R/Python/Matlab) excellent
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and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We
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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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start date. Strong background and experience in, survival analysis, missing data methods, causal inference, machine learning Proficiency in R and SAS/STATA. Excellent written and verbal communication
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disabilities or their families as indicated by application materials. Two years of proficiency with software such as Excel, SPSS, SAS, or R as indicated by application materials. Contact Information
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) experience with computing languages such as python, R or MATLAB experience with presenting at conferences and writing manuscripts experience with leadership experienced at exhibiting independence, networking