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PyTorch or TensorFlow. Experience developing, training, and optimizing neural network and deep learning architectures. Experience with Linux/UNIX environments and HPC systems. Familiarity with job
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such as Python, C++, Java, as well as tools and topics such as Git Version Control, Linux, Object Oriented Programming, Data Structures, Computer Architecture, and Discrete Structures. Industry
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tools (Linux/macOS terminal or Windows shell). Strong problem-solving skills, attention to detail, and ability to maintain accurate documentation of experimental setups and code. Ability to work both
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management, and disaster recovery capabilities while supporting both POSIX and S3-compatible access. Candidates must demonstrate hand-on experience working in LINUX and High-Performance Computing environments
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Terraform scripts. • Familiarity with CI/CD toolchains, DevOps principles, IoC, Kubernetes Cluster, YAML, Git, Linux CLI as well as the ability to work with various programming languages (Python, PowerShell
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Services Posting Number P260106 Posting Link https://www.ubjobs.buffalo.edu/postings/62614 Employer State Bargaining Unit 08 Position Type UUP Professional Professional Appointment Term Term Salary Grade SL4
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dedicated to instruction, and others focusing on research. Our lab spaces (with Linux and Windows environments) provide open and inviting lab spaces for our students, to interact with each other and feel part
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maintenance schedules. Familiarity of networking capabilities of various operating systems such as Windows, Mac OS X, Linux, etc. Working knowledge of the latest wireless technologies. Knowledge of routing
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Windows, Linux, and macOS patch management programs to ensure timely and effective mitigation. Monitor organizational assets and security defenses for cybersecurity risks, including proactive identification
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to technical audiences). Working knowledge of Linux/Unix systems, HPC environments, cloud storage, or research data workflows (to credibly discuss Globus deployment and use cases). Exposure to AI tools