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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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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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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 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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computational resources, for recruited imaging science faculty and staff. Maintain communication, organizational and fiscal oversight and efficiency of multiple projects in parallel. Establish excellent
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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materials technologies. We focus on the unique physical properties and disruptive application potential of two-dimensional materials, leverage intelligent materials design and multi-scale computational
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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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Associate Scientist or Lead Researcher - (Protein Engineering and Design, Genome Editing, Biotechnol
, and fun group of scientists at St. Jude Children's Research Hospital. Our research program centers on dethe development of state-of-the-art genomic methods for understanding the global activities
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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