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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
. Description: The Materials Development & Additive Manufacturing group at JPL seeks a highly motivated Postdoctoral Scholar to conduct basic science research focused on the development of computational design
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be available. Position Description A PhD degree in one the fields: plant biology/ genetics, human nutrition, physiology, nutritional epidemiology, biotechnology, genetics, or food systems, or other
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Minimum Qualifications The candidate should have a Ph.D. in chemical engineering, mechanical engineering, chemistry, physics, or materials science with a computational modeling focus. Experience 0+ years
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for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices. Qualifications Qualifications The following qualifications are required: PhD in Computer Science with
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safety standards and adhere to University of Minnesota policies. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Environmental Engineering, Chemistry, Chemical
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% - 2%) QUALIFICATIONS Education: PhD. Degree in Chemistry, Mechanical Engineering, Materials Science, or related discipline. Experience: No post-terminal degree experience required. Experience and
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; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics. Candidates must hold a PhD degree. To apply, please visit: https://recruit.apo.ucla.edu/JPF10108 The University of California
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 17 days ago
status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in atmospheric science, environmental engineering, public health, data science, or relevant disciplines. Experience
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/Licenses Required Knowledge, Skills, and Abilities PhD, ScD, MD or an equivalent doctoral degree in epidemiology, biostatistics, public health, social and behavioral sciences (e.g., sociology, psychology
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related