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. The successful candidate will develop a software interface and integrate it with our existing Python analysis package.Applicants are expected to have a background in successfully developing software
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-controlled repositories and containerized computational environments (Docker/Conda), using Python and/or R. Assist with data management on remote computing clusters and back-up servers, including organizing
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, experimental physics, or commercial opto-electromechanical instrumentation. The successful candidate will possess software knowledge spanning multiple applications and development models. They will be open to
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physics, or commercial opto-electromechanical instrumentation. The successful candidate will possess software knowledge spanning multiple applications and development models. They will be open to learning
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of a team. Ability to work on multiple tasks simultaneously and set priorities. Ability to work across institutions and communicate effectively with both operational and research teams Some travel in
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management of multiple remote sensing data types, including planetary missions. Skilled coding in languages such as Python and/or C-languages; experience with industry remote sensing software packages such as
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. This individual will also consult with multiple IT colleagues, external research groups, and grant-funded initiatives. Additionally, you will administer existing cluster and grid infrastructure technologies, and
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’ experience as a network engineer. Experience in cross platform network automation using Ansible and Python. Solid understanding of TCP/IP, OSI layer and operational experience of network routing protocols
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: Bachelor's degree plus 3 years of experience as a network engineer, or 8 years of experience as as network engineer in lieu of a degree Experience in cross platform network automation using Ansible and Python
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analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Familiarity with SIEM tools