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. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of
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)genomic research to better understand the role of transcription factors and the epigenome dynamics. The individual is needed to conduct research on questions related to transcription factor DNA-driven 3D
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carries out experiments including cell culture (various primary cells as well as immortalized cell lines), high resolution fluorescence imaging and image analysis, biochemical as well as molecular biology
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implementing a multi-level RCT in a health system environment, collecting qualitative data, participating in ongoing data analysis, and manuscript preparation under the supervision of the Lead Principal
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. Under the direction of the Principal Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune
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biological markers o Quantitative analysis of complex data Evidence of collaborative publications (in press or near-submission is acceptable) City: New Brunswick State: NJ Location: Douglass (RU-New Brunswick
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computational analysis of genome sequencing data in the Ellison laboratory. Position Status Full Time Posting Number 25FA1089 Posting Open Date 10/31/2025 Posting Close Date Qualifications Minimum Education and
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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. Requires in-depth understanding and hands-on experience in preparation and analysis of proteins, nucleic acids, and complexes thereof. Requires in-depth understanding and hands-on experience in molecular
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competency in statistical analysis of clinical data Proficiency with Qualtrics Previous experience conducting diagnostic evaluations (e.g., SCID, MINI, C-SSRS). Certifications/Licenses Required Knowledge