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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the world are facing
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required for this post. A PhD is desirable. Additional requirements Additional assets for this position are: experience in machine learning engineering and related tooling; experience with European cloud
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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, Torque, PBS, LSF). Experience with automation tools such as Ansible, Puppet, Chef, Salt. Experience with provisioning tools (e.g., xCAT, Confluent, Warewulf). Experience implementing monitoring tools (e.g
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courses). - Proficiency with computer tools: R, Python, Bash, Perl, Java, SQL. - English: High-level language proficiency. - Willingness, ability to learn, and teamwork skills will be valued. - Experience
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: Minimum of four years of experience in grounds maintenance and snow removal. Verifiable skill or experience in the use of heavy equipment required, lawn mowing equipment, general knowledge of tools and
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comprehensive benefits package to all our employees at the University. https://www.uta.edu/hr/employee-benefits To help you understand the full value of these benefits, we have created a tool that calculates the
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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our employees at the University. https://www.uta.edu/hr/employee-benefits To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your