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Salmonella detection methodologies. Learning Objectives: The participant will learn about stakeholder-focused research, data science, scientific communication, food safety applications, real-world data, and
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engineering, as well as computer vision, imaging, hyperspectral imaging, machine learning techniques in food and agricultural area, is desired. A understanding of modern AI model development Stipend $70,000.00
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of a portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You
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portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You will gain
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will hold a PhD degree in Biomedical Science, Bioinformatics, Data Science
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Degree or Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences (51 ) Mathematics and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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biology, statistics, computer science, or a closely related field). Degree must have been received within the past four years. Preferred skills: Computer skills Knowledge and understanding of genome