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Field
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with electronic structure methods (DFT, TD-DFT, BSE). Experience with scientific software integration and user-facing tools. Knowledge of HPC or parallel computing. Experience with machine learning in
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biological datasets, including mixed models, dimensionality reduction, and behavioral quantification. Research Computing and Data Infrastructure: Manages lab data storage, organization, and access on high
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Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers, computational biologists, and experimental partners in both academia and
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Posting Description SENIOR ARCHITECT AND TECHNICAL LEAD - OPEN PORTABLE INTEGRATIONS FOR AGENTIC RESEARCH COMPUTING, MA Green High Performance Computing Ctr, to serve as the technical lead and
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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lead several parallel implementation efforts for Merit's business systems, organize risk preparedness, and corporate software needs. Manage medium to large-scale projects determined by Merit's executives
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: 7092477 Summer Geometry Educator University of California Los Angeles Requisition Number: JPF10957 Summer Program Dates: June 22 - July 24 Summer Course: Geometry Description Geffen Academy Educators
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School/College/Programs. Uses performance marketing data and available research to create program-specific and college-wide strategic and targeted recruitment and outreach plans that parallel
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 18 days ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems