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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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opportunities, including the Indiana Pharmacy Teaching Certificate (IPTeC) Receive biweekly mentoring and professional development coaching Required Qualifications: PhD, DrPH, ScD, or equivalent in
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of Indianapolis and 110 miles southeast of Chicago, both easily reachable by car or public transport. Purdue University is an Equal Opportunity/Affirmative Action Employer. Salary: Competitive. Benefits
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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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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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to diverse expertise and resources across leading institutions. The successful candidate will join a dynamic and collaborative research team dedicated to developing cutting-edge AI, machine learning, and
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available
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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