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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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of large language models (LLMs). Skill development in scientific and technical writing, data engineering, machine learning, and data visualization. Exposure to cross-agency collaborations and the opportunity
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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, research, and professional development a Fellow may participate in include: Learning to advance innovation, technology development, and breakthrough knowledge Learning to facilitate research and multimodal
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Environmental Research and Development Program (SERDP) and the Environmental Security Technology Certification Program (ESTCP) is offering a postdoctoral fellowship. Why should I apply and what will I be doing
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, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and
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. Citizen Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (2 ) Life Health and Medical Sciences (20 ) Mathematics and Statistics (7 ) Affirmation I
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fields. Point of Contact Ashley Eligibility Requirements Degree: Master's Degree or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and
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): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1 ) Engineering (3 ) Life Health and Medical Sciences (22 ) Mathematics and
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environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster analysis, to characterize populations with diabetes and