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Field
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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aim to uncover the drivers of pathological remodeling. In parallel, we are interested in the regenerative capacity of vascular tissues and the potential for cellular reprogramming to restore function
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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university-parallel/college transfer programs. The goal of the Cashier is to provide high touch, high quality Academic and Administrative Services in the College’s Business Office. The Cashier will support and
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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-painting approaches preferred. Knowledge of screening and assay analysis software such as CDD Vault, Prism, JMP, Genedata, or related platforms desirable. Ability to manage multiple parallel projects in a
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within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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generation followed by imaging at the Imaging core, 3) RNA functional genomics with methods such as massively parallel reporter assays (MPRAs) followed by sequencing at the Genomics core, 4) experimental