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Field
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systems (e.g., CVE, CVSS, CISA Known Exploited Vulnerabilities) Basic knowledge of SIEM tools such as Splunk. Basic knowledge of Linux Administration Basic knowledge of vulnerability scanning tools such as
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infrastructure. As part of this work, applicants should have experience running Linux operating systems in a production environment, provisioning and maintaining server-class hardware in a data center. This
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or R. Experience working in a Linux environment and using command-line tools. Knowledge of statistical methods and the ability to apply them to biological data analysis. Experience in the analysis
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
is responsible for the institute’s IT environment, including client systems, servers, network infrastructure, scientific computing services, storage, backup and user support across Linux, Windows and
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, pandas, scikit-learn), Linux, and Git. Proven ability to develop well-documented, maintainable research software and manage experimental datasets. Strong publication record relative to career stage
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Python, C/C++, MATLAB, Java, or other programming languages Experience with version control, Linux, databases, machine learning, or related technologies Previous research, internship, laboratory
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, Manual/Battery Operated Hand Tools, 3D Printing, CNC Software: Word, Excel, Power Point, SolidWorks, Orcad, Acrobat, PuTTY or Equivalent OS: Linux (Red Hat, Ubuntu, Windows 11, MobaXterm) General Notes
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high-level programming languages, is essential Proficiency with high-performance clusters and Linux OS with in-depth IT skills Ability to work independently and as part of a team Fluency in English The
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, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Extensive experience with Microsoft Windows and Linux operating systems in a complex network environment. In-depth
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. Experience working in Linux environments, including batch job management on shared computing resources. Familiarity with a variety of supervised and unsupervised classification techniques. Proficiency in one