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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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, and the ability to drive and follow through on multiple complex projects in parallel. The Director will collaborate with both internal and external stakeholders to ensure smooth and efficient operations
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models Apply techniques such as quantization, pruning, distillation, sparsity, and parallelism to improve model efficiency Work with deployment tools such as ONNX, TensorRT, cuDNN, vLLM, and SGLang
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of Texas Southwestern Medical Center in Dallas, seeks applications for two tenure-track faculty positions at the Assistant or Associate Professor level. These are parallel searches in computational and
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parallel, we focus on engineering metamaterial structures at subwavelength scales to achieve unprecedented electromagnetic, acoustic, or mechanical properties not found in natural materials. We
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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
evolution. Develop scalable methods to characterize large numbers of CRISPR genome editing variants for activity and specificity with massively parallel high-throughput sequencing approaches. Design and test
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel