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Field
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international degree granting program Additional qualifications (required at time of start) PhD or equivalent international degree. Preferred qualifications PhD in Computer Science or closely related field
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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PhD in STEM Field (including computational or mathematical social science). ? Ability to program in C and Python. ? Must know basic statistics. ? Experience in social network
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supervised by Dr. Ali Trabolsi Required Education, Certifications, Licensing or Training PhD in chemistry. Preferred Education, Certifications, Licensing or Training PhD in chemistry having research topic
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duties as required. Required Education and Experience PhD in Agricultural Economics Preferred Experience Experience with econometric and business management research methods and analysis Experience with
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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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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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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
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in electrical engineering or a closely related field. Previous laboratory and/or field experience. Experience