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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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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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of Prof. Ariel Ortiz-Bobea (Dyson) and in coordination with Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource
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of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community
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Experience with Speech, EEG, and fMRI data collection and analysis as well as computer programming is preferred. Other Qualifications To the extent this position requires the holder to research, work on, or
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an interdisciplinary research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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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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in sorghum. Required knowledge, skills and abilities: -Ability to multi-task and work cooperatively with others -Good communication and computer skills Preferred licenses and certifications: -Valid
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. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic