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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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, data-driven, and process-based models to coastal systems; analyze and visualize model outputs; communicate with project partners and stakeholders; and disseminate research findings in peer-reviewed
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other air pollutants, including source-resolved measurements; Modeling of indoor pollutant emissions, transport, transformation, and exposure, ranging from mechanistic or mass-balance approaches to more
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undergone in the murine model using an experimental influenza vaccine that has already been developed in our laboratory using antigens derived from the H1N1/PR8 influenza strain. Candidate profile: We
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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biology, and the development of genome editing systems. Demonstrable experience in the study and manipulation of genetic elements and in insect experimental models. International postdoctoral experience
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 6 hours ago
Qualifications Experience in handling mouse models. Strong written and oral communication skills. The ability to work independently and as part of a research team. Special Instructions to Applicants Recruitment
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cellular biology approaches. The Park Lab develops human stem cell-based neural models to investigate molecular and cellular mechanisms regulating neurodevelopment and neural function, and to understand how
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
research The Chen lab at UNC studies the development, plasticity, and function of astrocytes in the nervous system. Using complementary genetic and imaging approaches in fruit flies and zebrafish model
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for Organoids, Liver, and Lab On-Chip' led by the industrial partner Fluigent and funded by BPI (Biotherapies and Bioproduction of Innovative Therapies programme), develop biological liver-on-a-chip models