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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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: Experience with CUDA programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high
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-year Postdoctoral position focused on modeling the flexibility potential of electric vehicle (EV) charging clusters and exploring their synergies with distributed renewable energy sources
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strategies. Through these efforts, we aim to accelerate the translation of molecular and clinical insights into tools that improve patient outcomes. More information about the lab can be found here: https
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Research experience that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology
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independent and collaborative research at the intersection of AI systems, distributed and high-performance computing, edge-to-cloud platforms, and domain-driven applications such as digital agriculture
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research in quantum algorithm development for condensed matter physics. Write peer-reviewed scientific articles and present research findings at major scientific conferences. Collaborate with ORNL staff
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position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to