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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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experience managing and analyzing complex datasets using R, Stata and/or SAS. Preference will be given to candidates with proficiency coding and managing multiple large datasets and experience estimating
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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career. Engage in open, timely dialogue with your mentor regarding research goals, professional development, and scientific integrity. Model collegiality and uphold the Duke School of Medicine Honor Code
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and qualitatively. They must also have experience developing and adapting qualitative coding schemes based on dialogue and behaviors (from video, audio, eye movements, and log file data), as
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, principles and theories. Develops tools and code to conduct advanced analyses of ocean and atmosphere datasets. Adheres to University and unit-level policies and procedures and safeguards University assets
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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review
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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal