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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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experiments. Utilize laboratory techniques that support hypothesis-driven neuroscience research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python
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techniques that track the dietary plant and animal species people consume. Our techniques generate objective data on intakes of over 900 plant and animal species, robust to differences in memory/recall, and
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graduates from Duke or NCCU. • B.S. in Mathematics, Computer Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other
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experience developing automated solutions, data integrations, and applications to improve business processes and efficiency. Knowledge of database structures, Python, SQL and APIs. Experience creating and
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for causal inference using software such as R, Python, or Stata; (30%) Assist in preparation of research outputs, including figures, tables, reports, and academic manuscripts; support replication and
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications
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, criminal justice and energy grid reliability, as well as to materials science and computer vision. The candidate will join a highly dynamic team of researchers that spans across different departments at Duke
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, Computer Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other data visualizations within analytics platforms