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University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives. Posting Summary Rutgers, The State
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controlled laboratory weathering studies is desirable. Excellent written and oral communication skills are required. Evidence of contributions funding agency reports is desirable. While the primary work
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25FA0936 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience Ph.D. in Civil Engineering, Industrial Systems Engineering, Material Science, or a closely related field. The
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controlled laboratory weathering studies is desirable. Excellent written and oral communication skills are required. Evidence of contributions funding agency reports is desirable. While the primary work
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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience The candidate should hold a PhD degree in Computer Science, Information Systems, Computer Engineering, or a related field
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical to IDRIS Experience in analyzing real data Strong programming skills Familiarity with statistical methods
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engineering, computer science, applied mathematics, systems biology, or a related field. Strong background in computational modeling, data science, or machine learning. Candidates in ABD (all but degree) status
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, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical to IDRIS Experience in analyzing real data Strong programming skills Familiarity with statistical methods
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, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting, engineering, ecology, sociology, epidemiology