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Field
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in the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. GPU Cluster, supported by NSF MRI (#2117941), provides high-performance computing
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algorithms Improve performance through tuning the GPU code Document, test, and debug revisions of the software for release Coordinate conversion of LM states of cells into coarse-grained atomistic
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access to substantial computational resources (GPU nodes), advanced high-throughput instruments (including a FACS, mass photometer, ITC, SPR, and others), and state-of-the-art characterization tools
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development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
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. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
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recommended. Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a
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(PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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-up funding, commensurate with rank and the proposed research programme Access to secure clinical and multi-omics data environments Modern GPU, and high-performance computing resources, plus dedicated
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experiments. Help manage and organize sizable machine learning training runs (100s – 1000s of GPUs) and computational experiments (petabytes of data). Communication Informally and formally communicate results