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Field
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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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research project in any of several areas relevant to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic
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/email inquiries, supports scheduling and registration workflows (as applicable), maintains accurate logs/records, and protects confidentiality. In parallel, the role coordinates basic facilities
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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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optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model
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to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic screens, biochemistry, ribosome profiling (ribo-seq
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massively parallel algorithms and code performance profiling are a plus. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint