166 assistant-professor-computer-science-data Postdoctoral positions at Rutgers University
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, Skills, and Abilities Effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access
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computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment Utilized Physical Demands
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Engn- Ctr Adv Infrastructure Salary Details starting salary is $61,805 per year Offer Information
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process development. Among the key duties of this position are the following: Conducts research processes and procedures in the PI laboratory. Assists in the acquisition and analysis of data. Supports PI's
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (Rongo) Department Waksman Inst of Microbiology Salary Details A minimum of $63968 Offer Information The final
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Qualifications Minimum Education and Experience PhD in genetics/molecular/cell biology field. • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and
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and international conferences. Supervise undergraduate students. Supervise graduate students. Minimum Education and Experience: PhD in biomechanics, kinesiology, biomedical engineering, computer science
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (LGBTQ Public Health) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SPH-Ctr
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department SAS-DLS-Ctr Collab Neurosci Salary Details minimum salary $63,968 Offer Information The final salary
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of this position are the following: Conducts research processes and procedures in the PI laboratory. Assists in the acquisition and analysis of data. Supports PI’s plans, developments, and implementations