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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
intelligence/machine learning (AI/ML) and pharmacokinetic/pharmacodynamic (PK/PD) models that reduce reliance on animal testing and enable the quantitative evaluation of safety and efficacy for antibody and mRNA
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21868161/postdoctoral-research-associate Return to Search Results
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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More Jobs from This Employer https://main.hercjobs.org/jobs/21882478/postdoctoral-research-associate-or-more-senior-researcher-revised Return to Search Results
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with