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                , Quantum Information Science , quantum information theory , quantum information/computation , Quantum magnetism, quantum phase transitions , Quantum many-body structure and their manipulation , Quantum 
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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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                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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                the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics 
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                Purdue’s strategic focus on health equity and population health. Program Goals and Learning Objectives The fellow will gain experience in: Designing and conducting pharmacoepidemiologic studies in cancer and 
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                digital forestry, genetics, ecology, remote sensing, data science, entomology, wildlife and economics. The postdoc will have opportunities to interact and collaborate with other postdocs and graduate 
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                ‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline 
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                : The ideal candidate will hold a Ph.D. in Anthropology, Dentistry, Biology, Epidemiology, Public Health, or a related field, with a strong publication record, including first-author papers in peer-reviewed 
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                Margaret Tarpo Department of Chemistry at Purdue University is seeking a highly motivated and creative Postdoctoral Researcher to join our team. Our research is centered on understanding novel mechanisms 
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                modeling. Contribute to and drive forward the project’s work plan and study goals. Ideal Candidates: The ideal candidate will hold a Ph.D. in Biology, Biochemistry, Epidemiology, Genetics, Genomics