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Field
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team and train others Proficiency with computer programming (e.g., MATLAB, Python, R, etc.) Desirable Qualifications: Experience using preprocessing and postprocessing pipelines for resting state
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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acquisition, instrument control, and data analysis in Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Experience Applicants must have experience writing and modifying scientific code, performing data analysis or simulation workflows, and proficiency in at least one programming language such as Python, C, C
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Education, STEM Education, Statistics, or a closely related field. Experience conducting quantitative analysis using statistical software such as R or Python. Experience conducting educational, social science
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, energy poverty, and energy security Prior experience in qualitative, quantitative, or mixed-methods research. Technical competence in data analytics, programming, or modeling using tools such as Python, R
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) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and
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qualifications ● Coding fluency in Python for machine learning and statistical analyses. ● Excellent statistical and/or causal inference skills. ● Experience with modeling and statistical analysis of metagenomic
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experience in Python and/or C++ Strong mathematical and analytical skills Has experience working collaboratively within a multidisciplinary team. Excellent oral and written communication skills as demonstrated