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, to conduct quantitative research on wildlife pathogen surveillance and aquatic invasive species modeling within the Department of Veterinary Population Medicine. The position involves wildlife disease
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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts
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and the implementation of modeling and experimental frameworks for additive manufacturing systems. Research activities will emphasize solid-state and fusion-based additive manufacturing (AM) processes
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projects at the intersection of AI Virtual Cell modeling, Epigenetics, and Stem Cell biology. Research Focus for This Position We are particularly interested in candidates who can integrate AI-driven virtual
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or mitochondrial dysfunction. Perform experiments utilizing molecular, genetic, cellular and imaging approaches in both rodent and cell models. Participate in the development and validation of rodent and cell models
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to understanding the biology of coronaviruses, paramyxoviruses, and pneumoviruses, understanding vaccine candidates and therapeutics for infectious diseases. It will also involve developing animal models
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of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will also include work that aims to understand how human behaviour may change with
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, international research team performing leading research in climate adaptation engineering, probabilistic assessment and GIS modelling. The researcher will primarily be based in University College Cork (UCC) but
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modeling approaches. The successful candidate will design and conduct experiments, develop and implement analytical and numerical modeling approaches, and perform microstructural characterization to evaluate
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background in zoonotic and vector-borne disease to join our CDC-funded project team to strengthen partnerships with public health in the Ohio River Valley and develop predictive models and hazard maps that