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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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network optimization tools. Knowledge, Skills, and Abilities Strong knowledge of automation frameworks and scripting (e.g., Python, Bash, PowerShell). Hands-on experience with monitoring tools like
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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meteorology Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences Experience interrogating and/or visualizing meteorological data Experience with
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Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences: Experience with web development Experience interrogating and/or visualizing meteorological
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Artifact Repository: Artifactory Network: SSH, SCP, FTP, HTTP(S), TCP/IP, STIG compliance, firewall/iptables setup. Scripting: Bash, Perl, Powershell, YAML, Python Operating System: LINUX (Redhat, Ubuntu
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programming skills (for example MATLAB and/or Python) are highly preferred but not required. A two-year commitment is required. ADDITIONAL JOB DETAILS: The Translational Research in Affective Disorders
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mathematical analysis, numerical exercises using Python, and participatory demonstrations of mechanical systems. Number of Positions: 1 Estimated course enrolment: 92 students Estimated TA support: TBA hours
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of Microcomputers, Introduction to Computer Information Systems, Introductory Programming in Python, and Data Analytics Courses. Required Qualifications Candidates must hold a minimum of a Master’s degree in the