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radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these approaches in radiation therapy
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(e.g. deep learning, language models and responsible AI). Minimum Qualifications PhD or other doctoral degree in biostatistics, statistics or strongly related field. Record of high-quality scientific
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insurance, additional retirement plans and much more. To learn more about these benefits, please visit: https://hr.uky.edu/employment/our-benefits The position will be posted until filled, with an intended
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, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining optical system design, signal processing, machine learning, and
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: Experience with probabilistic graphical models, time series analysis, or deep learning Familiarity with reproducible research practices and open-source collaboration Interest in interdisciplinary applications
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Desirable: B1 A specialism in HR analytics or deep learning. Skills Essential: C1 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a
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given to candidates with PhD or who are ABD Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00pm (CST
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), 9-month, fixed-term Assistant Professor (Teaching) position. Reappointment is at the discretion of the Director. The successful candidate will teach upper-division undergraduate courses in Spanish and
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, • the use of intensive bioinformatics pipelines, • the development of AI and deep learning models, • the analysis of biological images, and • the implementation of large-scale interdisciplinary projects. In
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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological