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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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, fall rehabilitation, app development, and biomechanics. Data Post-processing Programming using MATLAB, Python, and Java/Kotlin (for Android) Publish journal articles. Presentation of research at national
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in Python. Additional Information: The Department of Microbiology within the College of Arts and Sciences seeks a Postdoctoral Scholar to perform independent research in the Gowda Lab. The College
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing data from these experiments using robust computational
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and