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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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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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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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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for
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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for
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record of peer-reviewed publications Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote
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, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to