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to examine dietary fiber effects on gut microbiota, identify beneficial metabolites, and explore their role in addressing the pathogenesis of metabolic diseases. In addition, the candidate will contribute
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collaboratively and independently. Preferred Qualifications Equipment Utilized Will use typical laboratory equipment for biochemical, cell and molecular biology experiments. Will use software (Word, Excel
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develop AI-assisted wireless networking solutions and implement prototypes using software-defined radios, working with graduate students and faculty members at Rutgers CS/ECE and WINLAB. The candidates must
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experience in bioinformatics, computer science, biology, biochemistry or similar preferred. 1+ years of demonstration of exposure to NGS data analysis; experience using standard NGS analysis software preferred
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to NGS data analysis; experience using standard NGS analysis software preferred. Experience in cancer genomics, microbiome, and metabolomics analysis ideal. Experience in scRNAseq or long reads data
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(MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye-tracking, and psychophysical experimental design, MRI data collection in a 3T Siemens scanner or
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funding for their independent line of research); Leading community engagement activities to aid in recruitment and retention Equipment Utilized Proficiency with statistical software (e.g., R, MPlus, SAS
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of evidence-based treatments for mental health concerns. Equipment Utilized Routine office software. Occasional use of SPSS and/or Excel. Medical Electronic Health Record. Physical Demands and Work Environment
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of evidence-based treatments for mental health concerns. Equipment Utilized Routine office software. Occasional use of SPSS and/or Excel. Medical Electronic Health Record. Physical Demands and Work Environment
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papers. Develop and make publicly available user-friendly software. Engage in collaborative research by applying advanced statistical methods to biomedical studies. Position Status Full Time Hours Per Week