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Field
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and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Enthusiastic, curious, and having excellent communication
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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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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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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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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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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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, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA
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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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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS