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Field
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and programs to support operations, monitoring, and automated administrative tasks. Provide senior-level guidance to establish technical best practices, performance standards, and operational procedures
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targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
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in data science, computer science, computational biology, or a related field Solid programming and data science skills, including familiarity with Linux, Python programming, version control, continuous
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warmth. Michigan Law has an exceptional and cooperative community of talented and interesting students, with 1000 in the J.D. and 40 in the LL.M. program. Our commitments to collegiality, to constructive
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of education and/or experience. ● Experience with the Linux operating system and utilizing the command line interface. ● Demonstrated ability and experience with scripting and programming (e.g. Bash, Python
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occupational/technical programs and university-parallel/college transfer programs. The College Navigator plays a vital role in supporting students from initial inquiry through enrollment. This position provides
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occupational/technical programs and university-parallel/college transfer programs. The College Navigator plays a vital role in supporting students from initial inquiry through enrollment. This position provides
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interactions among the office team as well as with the broader campus community. Effective with time management skills, including strategies for: prioritizing tasks; coordinating multiple events in parallel; and
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user accounts on HPC platforms. Diagnoses and trouble shoots user connection problems. Compiles, tests and optimizes the performance of serial and parallel applications, including applications with
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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