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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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driven science/tools. Teaching or training experience. Experience using large-scale HPC clusters. Experience supporting research computing environments. Familiarity with parallel programming models such as
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written communication skills. A collaborative mentality towards research and mentoring. Desired skills and techniques include experience in parallel computation and advanced numerical programming, using
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acquisition (DIA), data dependent acquisition (DDA), and parallel reaction monitoring (PRM) proteomics experiments to fit the specific experimental needs of stakeholder cancer researchers. Manage a wide variety