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). Containerization & Orchestration: Mastery of Kubernetes and Docker for containerizing and distributed ML workloads. Coding Proficiency: Strong programming skills in Python and experience with core ML/Deep Learning
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language (JavaScript/Node.js, Python, or Java) Experience building and consuming RESTful APIs or GraphQL Basic understanding of web servers (e.g., Apache, Nginx) and application deployment Database
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language (JavaScript/Node.js, Python, or Java) Experience building and consuming RESTful APIs or GraphQL Basic understanding of web servers (e.g., Apache, Nginx) and application deployment Database
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languages (e.g. HTML/ CSS, JavaScript, XML). Knowledge of multiple back-end languages (e.g. C#, Java, Python, JavaScript) and their respective frameworks, especially Node.js and Express.js. Experience with
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development using additional coding languages, such Python and using tools such as Visual Studio and Docker. Web distribution using AWS or Google Cloud. XR (ARVR) development Staying current with ethical usage
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, and modeling using molecular methods. Strong capabilities in using MCNP, Serpent, NJOY, OpenFoam, VASP, and PHONON codes. Strong programming skills using languages such as Fortran and Python, and
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(e.g., Python, JSL, SQL) Required License(s) or Certification(s) n/a Valid NC Driver's License required No Commercial Driver's License required No Recruitment Dates and Special Instructions Job Open Date
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., JMP, Minitab) Programming or scripting languages (e.g., Python, JSL, SQL) Required License(s) or Certification(s) n/a Valid NC Driver's License required No Commercial Driver's License required
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, PIP, and Jupyter notebooks to manage Python environments and libraries for our growing AI/ML needs within our courses and research. Provide technical support to end-users regarding Linux-related issues
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, as well as updating all Python scripts. Additional tasks may be assigned to this position in other relevant areas, based on the candidate’s background and expertise. The candidate should also be