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Field
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equivalent foreign degree, obtained within the last three years prior to the application deadline Publications in leading journals or conferences in probability, statistics, or machine learning. Teaching
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ancestral recombination graphs to study of the genetic basis of diseases, incorporating ancient genomes • Apply and develop methods for partitioning heritability and estimating genetic correlations • Develop
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. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
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, France [map ] Subject Areas: Probability ; Statistics Appl Deadline: 2026/01/11 11:59PM (posted 2025/12/08, listed until 2026/01/18) Position Description: Apply Position Description Vacancy: 2-year full
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of Mathematics & Statistics 221 Parker Hall Auburn, AL 36849 Web Page: http://www.auburn.edu/academic/cosam/departments/math
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Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics
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on the statistical inference of Linear Mixed Models (LMMs). The project's goal is to develop a new breed of Mixed Effects Neural Networks (MENN) for Genome InterpretationI that take the best from both worlds, merging
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aspires to make a lasting impact on national, continental, and global scales, positioning itself as a leader in education, research, and innovation. The Materials Science, Energy, and Nano-engineering (MSN