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Field
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involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in understanding the drivers
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microbiology, molecular biology, cell biology, immunology, multi-omics, and animal models of disease. The candidate will design and perform experiments, analyze data, and interpret results. Prepare and publish
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-ENGR-08-25 Vacancy Open to All Candidates Department AAH CET Engineering Department Homepage https
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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of large scale field studies measuring concurrent acoustic transmission loss and meteorological parameters and subsequent data processing and data management. Duties also include: hypothesis development
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; (ii) an impact evaluation of a large-scale tree-growing program in Kenya, Tanzania, Uganda, and India; and (iii) an analysis of financial incentives for smallholder tree growing in Ethiopia. In
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, or geoscience. Scientific experience with biogeochemistry or related field Experience with big data', modeling or other computationally intensive approaches. Detail oriented with strong organizational and
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research on helminth parasites, to assist in clinical trials for river blindness treatment, and to manage large data sets. The successful applicant will have experience in data science and in infectious
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell