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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 days ago
are looking for individuals with A PhD in oceanography, climate sciences, or a related field A strong background in programming (e.g., Python, Fortran, Matlab) and ocean or climate modeling A strong background
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design and development using Python and C, object-oriented programming (OOP), open-source software development tools, revision control systems, web-based development, and Linux shell scripting; Experience
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automate network configurations using Python and Ansible. Collaborate with security teams to ensure compliance and performance. Monitor and respond to system alerts, outages, and performance issues. Assist
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statistical packages including SAS, SPSS, R and/or Python preferred. General understanding of the rules, strategies and concepts associated with football, basketball, and/or collegiate-level sports. Pre
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- Intellectually curious; eager to ask questions, admit mistakes, and learn new things - A strong programmer who’s comfortable with Python - An open-minded thinker and precise communicator who enjoys collaborating
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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data analysis and development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science
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or more application build & deployment methods commonly used with a language such as Ruby, Python, Java, NodeJS, or PHP. Experience with a systems monitoring & reporting tool such as Zabbix, Splunk, AWS
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is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming languages is preferred. Experience handling large next-gen sequence datasets is preferred. A
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing