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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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an attached resume) PhD or MD or foreign equivalent in hand by date of hire. Three years of postdoctoral research experience. Molecular and cell biology skills on mammalian cells or mouse models. The incumbent
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programs Posting Summary The Guzmán-Vélez Lab at Rutgers University (PI: Edmarie Guzmán-Vélez, PhD) is seeking a highly motivated Postdoctoral Associate to join a multidisciplinary research program focused
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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neurobehavioral assessments. Minimum Education and Experience: PhD or equivalent degree in neuroscience, neurobiology, molecular biology, biochemistry, psychology, genetics, pharmacology, or a related science field
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Cornell University, School of Integrative Plant Science - Section of Plant Pathology and Plant-Microbe Biology Position ID: Cornell-School of Integrative Plant Science - Section of Plant Pathology
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
-5137 Questions about this opportunity? Please email npp@orau.org Qualifications PhD in engineering or the physical or data sciences, preferably Chemistry, Physics, or Atmospheric Sciences. Previous
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Post Doc Associate, ALI The Department of Psychology at Cornell University, a cross-college department in the College of Human Ecology and College of Arts and Science, invites applications for a
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& Systems Biology program at MSK. Our long-term goal is to enable rational engineering of cell state: using large-scale functional genomics to build predictive models of how cells respond to perturbations