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Field
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candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning
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research Publication record in biomedical optics or sensor development Experience with statistical analysis software (e.g., R, MATLAB, Python) Proposed Salary The salary rage for this position is between
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experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff are entitled to university
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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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commercial and primary cells, and familiarity with the design and execution of preclinical trials. R&D Project Management: Experience in writing, managing, and executing research and development projects
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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 | about 15 hours 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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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
related field. Strong quantitative and programming skills (e.g., R required). Experience in ecological modelling with different Artificial Intelligence methodologies, including but not limited to machine
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance