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(e.g., RNA-Seq, 5mC / 5hmC-Seq, DNA-Seq, ATAC-Seq, CUT&RUN / CUT&Tag, 16S) Experience in automated sample preparation, as well as project management skills to organize multiple parallel projects
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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, and sick leave! The University of Colorado offers an excellent benefits package, including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our clinical activities
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templates and processes for scaling up the grant writing and fundraising support capabilities for multiple companies and/or BMDC in parallel. Develop a library of templates, awarded proposals and strategy
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cutting-edge requirements into resilient and scalable systems. The successful candidate will serve as a trusted technical advisor, systems architect, and subject matter expert across multiple classified HPC
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2025 - 23:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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of important problems). Desired: Extensive experience in parallel programming with MPI, OpenMP, C/C++, Python; experience working with data management and I/O libraries; experience as PI or co-PI on research
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programs under Clinical Research Support (CRS) and reports to the CRS Finance Director. The position is temporary for a max of a six-month period. Assists the pre award and post award staff on the creation