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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
or I-589 forms in pending status Qualifications PhD in Earth Science, Arctic Systems, Remote Sensing, Oceanography, Physics, Chemistry, Earth System Modeling or equivalent Experience with ECCO or other
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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performance and subject to budgetary approval. Eligibility requires completion of the Ph.D. in statistics, data science, mathematical sciences, computer science, or a closely related field before the start date
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& Gamble to develop biodegradation capabilities. Required Education PhD Degree in environmental science including environmental engineering, environmental chemistry, chemical engineering, analytical
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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QUALIFICATIONS PhD in Biochemistry, Molecular Biology, Plant Biology, or a related field; Proven experience in the field of plant medicinal natural product biochemistry; Proficiency in molecular cloning, protein
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evaluates data sources, background information and/or technology related to area of specialization. Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply