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support personnel are working with many national and international collaborators on a wide variety of terrestrial, aquatic, and marine bioacoustic research projects tackling conservation issues worldwide
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: machine learning or deep learning, structural modeling and analysis, and genome or transcriptome analysis; have a strong record of peer-reviewed publications or equivalent scholarly output; collaborate
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expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health
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qualitative research methods, experience in research operations, and a demonstrated ability to collaborate across multidisciplinary teams. The Postdoctoral Associate will help to transform and expand the way
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced statistical methods. Supported by
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work and funding. The Postdoctoral Associate will collaborate with instructors of Environment and Sustainability (E&S) core courses to: develop and integrate active-learning strategies that strengthen
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and as a part of a collaborative team Values mentorship and training Orientation towards learning How to Apply Please send your application to Tara Fischer at tdf45@cornell.edu . Your application should
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural