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: The Department of Computational and Data Sciences (CDS) (https://sciences.gmu.edu/cds) at George Mason University (GMU) is a rapidly growing department for data science and computing innovation. Part of
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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or
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. The department is actively expanding its proficiency in the field of health data science, with emphasis on areas including machine learning, artificial intelligence, clinical trials, precision health, mobile
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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer
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for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other
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Qualifications: Evidence of strong potential for collaborative world-class research Evidence of expertise in modern artificial intelligence/machine learning tools and/or advanced detector technology Evidence of a
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such as large language models, machine translation, and automatic speech recognition and synthesis have on translators, as well as their impact on the profession, practice, training and society at large
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, data integration, and machine learning methods across large scale multi-omics datasets. The Barr and Secrier teams have successfully worked together over the last five years, leading to three joint