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Field
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speech recognition, speech synthesis, speaker verification, voice conversion, and machine learning. Responsibilities: Develop and implement algorithms for real-time speech anonymization. Conduct research
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in: Udder health and animal welfare Digital learning and employee education Big data and tech in agriculture Bilingual communication (English & Spanish a plus) This position is available now. If you're
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
collaboration. Experience with optical satellite imagery and/or machine learning. Interest in student mentorship and contributing to lab group projects. Create a Job Match for Similar Jobs About The University
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University is seeking a Postdoctoral Research Assistant to support internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon
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Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools
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, or machine learning experts to create predictive virtual 3D mammalian embryos for human health, especially congenital heart diseases. We welcome applicants with expertise in genomics, developmental biology
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theoretical computer science and theoretical machine learning. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
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science, or in a related field Required Related Experience Computer programming, statistical modeling Required License/Registration/Certification None Physical Requirements Sitting for extended periods of time
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, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy