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resources and working to learn and implement new data architectures and systems including cloud and high-performance computing environments. This person also has experience developing or delivering research
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processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud applications. Proficiency in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out at LATMOS (Laboratoire Atmosphères, Milieux
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working with high-performance or cloud computing environments. Practical experience in either large-scale genomics data analysis or statistical/AI/ML method application to biological data. Familiarity with
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various software, applications, and data systems within the context of complex, multifaceted program evaluation and research activities. The Systems Integrations Engineer designs and implements system
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Cloud, Adobe Photoshop, Articulate Storyline 360, Adobe Captivate 2019, TechSmith Camtasia and Snagit and video editing software). Ability to coordinate with managers and employees to develop and
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Cornell University, Cornell Laboratory for Accelerator-based Sciences and Education REU ID: Cornell-CLASSEPhysics-AIMIREU [#31389] REU Title: AI-MI Summer REU program REU Type: Student programs
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future financial support, through gifts and pledges to the University, for critical operations such as student aid, faculty support, academic and research program development, and facilities and
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools
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observational, simulated, or laboratory data sets Efficient use of high-performance computing (HPC) and cloud-based platforms (Near) real-time analysis of large or streaming data Data management, archiving, and