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-performance computing and/or large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods
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(scientific Python, PyTorch) with solid experience in scientific computing, reproducible software development, and modern software engineering practices; familiarity with C++, Linux, and high
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Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned
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and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned
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-throughput sequencing data, proficiency in programming languages such as Python or R, Linux/Unix command-line skills, and the ability to develop reproducible analytical workflows. Experience with
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Science, Oceanography, or closely related fields by time of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience
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Significant Linux/Unix system development experience, especially for real-time latency-sensitive applications Experience developing distributed networked applications Experience using robotics frameworks
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Contact(s) Please note: Job applications must be submitted directly online only at: ( https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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additional programming languages is an advantage Experience with Linux/UNIX-based scientific computing environments and modern software development practices Experience with parallel computing and high