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/technical programs and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Arts and Sciences Division
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for designing, deploying, and maintaining advanced research computing infrastructure and services in support of the university’s research mission. This role collaborates closely with faculty, research staff, and
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agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a
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conferences to disseminate research findings, and mentoring junior team members in preparation for their presentations. In parallel, the principal investigator (PI) will provide mentorship aimed at supporting
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4 Oct 2025 Job Information Organisation/Company Malmö universitet Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Oct 2025 - 12
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operate equipment to take a full range of routine and complex digital intraoral and extraoral radiographs, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Diseño y desarrollo de extensor
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hydrodynamic, coastal, and hydrologic models is a prerequisite for this position. Excellent programming skills in Fortran and Python and good command in using Linux and parallel computing using high performance
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, Computer Science, Engineering, Statistics or Data Science or other relevant discipline 3 years of experience in designing and developing scientific computing software Experience in high-performance parallel