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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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transduction, or protein-protein interaction. Computer skills in data and statistical analyses are required. A proven record of productivity as demonstrated by recent first author publications in leading peer
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multicultural research teams. We strongly encourage applications from computer scientists with substantial experience in deep learning and related methods, even if they do not have prior formal training in
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software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. The University of Miami is
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/library/information sciences by the start of employment. They should have experience in social science research and demonstrate expertise or strong interest in one or more of the following areas
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collaboration with team members. Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience. Computer skills relevant for data
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effectively within interdisciplinary and multicultural research teams. We strongly encourage applications from computer scientists with substantial experience in deep learning and related methods, even if
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immunofluorescence, in situ hybridization, genotyping, quantitative PCR, micro-computed tomography, fluorescent and confocal microscopy imaging, cell culture, and computer based data analysis. Digital PCR and new
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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to manuscripts and grant proposals stemming from the BrainHealth Project. Physical Demands and Working Conditions Long hours working on computer. May be required to attend meetings andevents off-site and/or after