17 software-verification-computer-science Postdoctoral positions at Purdue University in United States
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-house CFD software packages. (3) Designing and developing CFD sub-models for application to a broad range of CFD problems. (4) Using high-performance computing (HPC) to accelerate complex, large-scale
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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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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
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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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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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Job Description Apply now Req Id: 37108 Job Title: Post Doc Research Assistant City: West Lafayette Job Description: Job Summary A postdoc position is available immediately in Andrew DeWoody’s lab at Purdue University (West Lafayette, Indiana, USA). The successful applicant will develop,...
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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 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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‘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