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discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position offers
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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of planetary atmospheres and surface environments · Strong programming skills (e.g., Python, C/C++, or Fortran) and familiarity with high-performance computing, and · Excellent organizational and written and
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analytical research on cell-type specific human brain development, and neurological diseases. The project will involve bioinformatic analyses of large datasets with Python and R programming languages. It is
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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journal. Candidate must hold a PhD and/or M.D, by August 2026, at the latest. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python
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data analysis using Python, MATLAB, ImageJ/FIJI, DeepLabCut, or related tools. Maintains accurate records of experimentation, animal procedures, data analysis, and research progress. Analyzes, organizes
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation