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, neuroscience, or a related field. Preferred Qualifications: Prior research experience in medical image analysis is desirable. Prior experience in machine learning or deep learning, along with proficiency in
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machine learning and deep learning methods for medical image analysis. His research findings have been published in top-tier journals and conferences, e.g., IEEE TMI, MedIA, MICCAI, and CVPR. Job
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, and multi-omics data analysis. They also develop novel diagnostic and clinical applications in the field of comparative oncology deploying AI and machine learning. The best-qualified candidate will have
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group as well. The group's research interests include axion and dark matter phenomenology, gravitational wave phenomenology, BSM model building, applications of machine learning to particle physics, and
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interaction, human systems integration, and quantitative research methods. Some experience with qualitative methods or an interest in learning about these methods will be beneficial. This position will work
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://biostat.ufl.edu/ ) is accepting applications for a fully-funded postdoctoral associate position. This position, available immediately, focuses on developing statistical, machine learning and deep learning methods
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using machine learning approaches for analyzing sequencing datasets will be an added advantage. The candidates will have a track record of publishing in peer-reviewed academic journals and strong
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science methods including statistical and machine learning methods (4) Develop and apply novel causal inference methods (5) Lead and collaborate on writing manuscripts for peer-reviewed journals (6
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graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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expertise in AI-driven drug discovery, machine and deep learning, computational biology, or bioinformatics research Self-motivation and independence Strong written and oral communication skills Being able