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Field
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maintaining a shock tube facility (operational proficiency required)Kinetic modeling proficiency (Chemkin, Cantera), analytical proficiency (sensitivity, rate of production, etc.)Spectroscopic modeling
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The Andlinger Center for Energy and the Environment at Princeton University seeks applications for two interdisciplinary postdoctoral research or more senior research positions to analyze and model
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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis
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Policy, Code of Conduct, and Conflict of Interest Policy. Understands, demonstrates, and models the Rutgers Cancer Institute of New Jersey core values. Keeps abreast of all pertinent federal, state and
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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Qualifications Preference will be given to applicants with documented experience conducting agrivoltaics research, working within a convergent research setting, and using spatio-temporal models. Experience working
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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the underlying molecular structure. Primary responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and
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. The ideal postdoctoral candidate will work both independently and in collaboration with members of our lab to work on in vitro cell culture systems and animal models. We are particularly interested in
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to evaluate their therapeutic potential for neurotrauma. We are particularly interested in candidates who have research experience in small animal models related to spinal cord injuries. The applicant is