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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively
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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
experience with R or Python is required. They will also evaluate research results for validity and reliability and oversee project progress. Finally, they will help develop research papers, presentations, and
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languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Strong written, oral, and visual communication skills. Responsibilities Research- Under
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programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG) and/or genomics; strength in one area with willingness to develop in the other. Ability to contribute to data
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methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health Strong evidence of potential to build
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%. B2: Knowledge of learning and knowledge extraction, weighted at 30%. B3: Knowledge of Artificial Intelligence and Machine Learning, weighted at 20%. B4: Knowledge with Python, weighted at 20
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methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health Strong evidence of potential to build
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closely related field. Work experience with atmospheric satellite data (e.g. NO�, HCHO, aerosols, ozone) and/or chemistry transport models. Strong quantitative and programming skills (e.g. Python, Fortran