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related 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
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, biostatistics, or a related field. A record of peer-reviewed publications. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python) for data analysis and visualization. Strong analytical, organizational, and time
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environments (such as SLURM and torque) Must have expertise in at least two programming languages including Python Preferred Qualifications Equipment Utilized Physical Demands and Work Environment
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. Mentoring experience is also required. Preferred Qualifications Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R
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experience is also required. Preferred Qualifications Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R statistical
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publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new
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insurance coverage Employee discount programs Posting Summary The Laboratory for Biomolecular Simulation Research ( http://lbsr.rutgers.edu ) and Institute for Quantitative Biomedicine ( https
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pipelines in MATLAB , Python, R, or similar platforms for electrophysiology processing, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical
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types of analyses that might arise. Most of these will be Python-based, but occasional use of other scientific software available in the lab will be essential. Work conductively with other members of