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preparation and grant development. Experience with statistical genetics, bioinformatics, genomics, or computational biology. Experience using high-performance computing and/or cloud computing
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trigger. This work will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to
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. Required skills: · Experience with Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
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: · Experience with Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively
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resources. IU’s Quartz supercomputer, Big Red 200, is among the world’s fastest research supercomputers. Owned and operated solely by IU, these high-performance resources are designed to accelerate discovery
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genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data analysis High-performance computing Experience in human population genetics
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successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and
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-sciences hubs. The successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed