172 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Rutgers University
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research project entitled, A community driven modeling approach for identifying community & policy-level interventions to address the impact of structural racism and discrimination on adolescent substance
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Aug-25 Location: New Brunswick, New Jersey Categories: Academic/Faculty Engineering Internal Number: 247154
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SPH-School of Public Health
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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Number 24FA0954 Posting Open Date Posting Close Date 01/07/2026 Qualifications Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering
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well as strong quantitative and programming skills. Experience with virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting
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the highest commitment to excellence in scholarship. Position Status Full Time Posting Number 25FA0633 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience PhD degree in
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) at Rutgers University invites applications for a research scientist position, who will work with Dr. Ahmed Aziz Ezzat at ISE to support a project of designing data-driven models for large-scale atomistic
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duties for this position are the following: Conducts multidisciplinary research in the area of the role of mTOR kinase in growth control and anticancer mechanisms, including in vitro and in vivo models