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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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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
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to complement your education and support your academic and professional goals. Along the way, you will engage in learning activities and research in several areas. These include, but are not limited to: Assess
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enhance assignment allocation and improve the efficiency and consistency of pharmaceutical quality assessments. Learning Objectives: You will gain experience in data analysis, algorithm development, and the
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, Master's Degree, or Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Engineering (5 ) Environmental and Marine Sciences (4 ) Life