108 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Rutgers University
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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, the National Science Foundation and others that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (ICU). This position offers a unique opportunity to contribute to a cutting-edge project
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Rutgers, The State University of New Jersey, is seeking a Post Doctoral Associate for NJMS-Microbiology, Biochemistry and Molecular Genetics. The laboratory goal is to characterize putative ER-shaping
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Rutgers, The State University of New Jersey, is seeking a Post Doctoral Associate for NJMS-Microbiology, Biochemistry and Molecular Genetics. The laboratory goal is to characterize putative ER-shaping
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data
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is to conduct cancer research affecting a variety of tissues to analyze experiments relative to the understanding of molecular mechanisms of tumor initiation and progression. The Montagna Lab
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should have a new or recent PhD degree and strong background in molecular biology and cancer biology. Candidates must provide proof all requirements have been fulfilled before their position start date
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communication skills. Experience analyzing fungal communities (ITS/18S). Familiarity with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems