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Field
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to apply are: Ph.D. or related degree completed in neuroscience or an associated field. Experience with a programming language (MATLAB, Python, R, or others). Expertise in neurophysiology or animal behavior
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of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data) Experience in R or Python Application instructions: Please send a CV, a brief cover letter describing your research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
), especially using Google Earth Engine (preferred). - Proficiency in Python, JavaScript, or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data, including cloud-based
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with grant writing Excellent data analysis skills in R. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s qualifications. Position Funding
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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community engagement activities to aid in recruitment and retention Preferred Qualifications Equipment Utilized Proficiency with statistical software (e.g., R, MPlus, SAS, SPSS) Physical Demands and Work
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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. Lozada-Hildalgo, & P. Unwin. Nature. 2023, 620, 782–786. 2. Thousand-fold increase in O2 electroreduction rates with conductive MOFs. R. Mariano, O. Wahab, J. Rabinowitz, J. Oppenheim, T. Chen, P. R. Unwin
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures