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simulations. (5) Interacting with other team members on industry-sponsored projects involving combustion, turbulence, multiphase flow, machine learning and artificial intelligence, algorithm development and
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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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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addition to annual salary of up to $75,000, this position provides office space, computer equipment, and $2500 in yearly support for scientific conferences or professional development. A sign-on bonus will also be
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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the culture of the College of Liberal Arts (#ThinkBroadlyLeadBoldly). Pay band: In addition to annual salary of up to $75,000, this position provides office space, computer equipment, and $2500 in yearly
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management. To qualify for the position, a candidate must have completed a PhD by the time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Korean and English are required, and
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Japanese and English are required, and