175 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Rutgers University
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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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Experience: Candidate must hold a PhD or equivalent degree in neuroscience, biochemistry, chemistry, molecular biology, psychology, computer science, biomedical engineering, biology, or other relevant
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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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and international conferences. Supervise undergraduate students. Supervise graduate students. Minimum Education and Experience: PhD in biomechanics, kinesiology, biomedical engineering, computer
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Jul-25 Location: New Brunswick, New Jersey Categories: Academic/Faculty Engineering Internal Number: 243706
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: 256443 Minimum Education and Experience: This position requires a PhD (or other doctoral degree) in education, public policy, social work or related field. In addition, it requires: Strong data analysis
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Internal Number: 246878 Position Summary: Rutgers, The State University of New Jersey is seeking a Postdoctoral Associate within the Radiation Cancer Biology Division of the Rutgers Cancer Institute
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code