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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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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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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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period. Required Qualifications A PhD in genetics, evolution, ecology, biology, or allied areas that will have been awarded prior to beginning this position. Highly motivated with a strong work ethic and
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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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, computer applications and modeling, geosciences, satellite and drone sensing platforms, social sciences, education, and forest biology, ecology, health, and management for sustainable and equitable rural and
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. Qualifications Candidates should have a PhD in a relevant field (e.g., Quantitative Genetics, Genomics, Statistics, Biostatistics, Statistical Genetics, Computer Science, Computational Biology) or other related
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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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for Diabetes and Metabolic Diseases (CDMD), and Center for Computational Biology and Bioinformatics (CCBB). In particularly, the candidate will have the full access to training workshops and pilot grant