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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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well as present findings to the community through publications and presentations. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemical engineering
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in fields of organic
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) at Argonne National Lab (near Chicago, USA). The postdoctoral researcher will work on the development of large-scale molecular dynamics, AI and machine learning based analysis to understand ferroelectric
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, especially surface holography, and their application to elucidate the spatiotemporal structure of nanostructures at surfaces and interfaces. The coherence-based probes will align with the capabilities promised
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to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization of deposition science and electrochemical interfaces. Position Requirements: A PhD in
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your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
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models, including training, fine-tuning and inferencing, at scale. It will help us better understand and improve DAOS to meet the needs of AI-driven science applications. We expect the postdoc to help
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging