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processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management skills, preferred. Proficient in
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electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or computational
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experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or
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processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management skills, preferred. Proficient in
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, preferably with expertise in advanced statistics. Proficiency in both qualitative and quantitative research methods. Experience with data analysis software (e.g., SPSS , R, NVivo) is highly desirable
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month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Ph.D. in any quantitative science (Computer science, Statistics, Bioinformatics, Physics or similar fields) or
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in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills. Excellent communication and interpersonal skills
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applications will be reviewed on a rolling basis. “This position is not eligible for visa sponsorship” https://njhealthstudy.rutgers.edu/en https://reporter.nih.gov/search/PuN2He56kEa658kDgQWquw/project
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applications will be reviewed on a rolling basis. https://njhealthstudy.rutgers.edu/en https://reporter.nih.gov/search/PuN2He56kEa658kDgQWquw/project-details/11365732 https://ifh.rutgers.edu/profile/l-s
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Cancer Institute of New Jersey, Rutgers University, 164 Frelinghuysen Road, Piscataway, New Jersey 08854. Email: [email protected]. Lab website: https://sites.rutgers.edu/wei-xing-zong