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, communication and outcome delivery. Assessing risk, urgency, impact and complexity to prioritise and coordinate actions that support positive student outcomes. Coordinating parallel actions across service units
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for Apertus models, from checkpoints during training to released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking
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for ARM64/aarch64 platforms Familiarity with HPC networking and communication stacks: Slingshot, libfabric, NCCL and its debugging Experience with parallel filesystems (e.g. Lustre) and storage performance
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any of the following: parallel computing (MPI, OpenMP, POSIX threads), scientific file formats (HDF5, NetCDF), XML, GUI development (QT, GTK, Glade), version control systems, defect tracking systems
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algorithms. Experience with Machine Learning (ML). Experience with MATLAB MEX objects. Experience with scripting languages (Perl, shell). Demonstrated knowledge in any of the following: parallel computing (MPI
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parallel genomic/proteomic/clinical) and data management and analysis solutions that aid in the storage, investigation and dissemination of large data sets. Coordinates research project with other
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implements: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical). Data management and analysis solutions that aid in the storage
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Join Us: Welcome to the Department of Pathology of the University of Colorado, Anschutz Medical Campus. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel
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programmes will run in parallel: (1) reconstructing the regulatory architecture of E. coli at high resolution as a foundation for predictive models of gene regulation; (2) building large-scale single-cell
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), Infrastructure (Computer Systems, Software Engineering), and Frontier Engineering (Communications, Electrical Engineering, Mechatronics). In parallel, through strategic cross-campus mobility and lab-sharing, we