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appointment, renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural
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role of a successful candidate will be to develop compositions and processing of these resins that will enable high performance energetics with tunable mechanical properties. Dr. Singer’s lab, the Hybrid
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differentiation. Certifications/Licenses Required Knowledge, Skills, and Abilities Must have a high level of research competency, knowledge, and skills to perform duties assigned by the PI. Must have effective oral
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translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and
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genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by the Postdoctoral
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(https://sites.rutgers.edu/cahbir/) is a state-of-the-art brain imaging facility featuring a research-dedicated 3T Prisma MRI scanner, an EEG/TMS suite, high-speed access to high-performance computing, and
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productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural determinants of health, intersectionality, and community
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of investigations in professional journals; is capable of working with a high level of independence. The Postdoctoral Associate offers advice and brings expertise to the research team; is responsible
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independently associated with different projects related to non-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need
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on performance and available funding. The successful candidate will be highly motivated, interested in forging collaborative relationships with staff and faculty and have a strong commitment to evidence-based