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on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute’s scientific computing research are to create new
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on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute’s scientific computing research are to create new
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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, high-dimensional modeling, or cloud/high-performance computing Experience (training acceptable) with one or more of the following: Genome-wide association studies (GWAS) Genotype imputation Fine-mapping
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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conferences, computing equipment, and fees associated with manuscript publications, if applicable. A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/wp-content
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Proficiency in R or Python Minimum of two years of experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer
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and William Wilcock where they will have access to in-house petascale computing facilities and cloud computing allocations. They will interact widely with all the participants in the project and have
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This