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software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
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knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency
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NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern
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of Management in Analytics (MMA) is in search of multiple tutors for various courses across the program. Required skills in either or both of the streams below (specify which stream in your application
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container technologies in HPC environments. Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright). Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific
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, particularly Hall thrusters. Deep expertise across multiple modeling fidelities, including both fluid and high-fidelity kinetic (e.g., Particle-in-Cell) methods. Proven experience in the development and
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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environments. Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright). Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific workloads. Deep expertise with high
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of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a