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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. 5+ years of senior-level management experience leading large
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interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be
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projects on our Epic electronic health record platform. You will focus on integrating AI and predictive models into the Epic platform, enacting and facilitating standardized intake, design, and
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, robustness, and generalizability of the proposed models. The research aims to advance intelligent and reliable prediction, diagnosis, monitoring, and performance assessment of metal additive manufacturing
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Description Whether behaving as a solid, fluid or gas, powder is a state of matter that is difficult to model on a large scale, specifically in industrial equipment. The sizing of powder agitation devices and
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recover quickly from disruptions. The research will involve reinforcement learning, predictive modeling, and real-time adaptive control to dynamically optimize production sequencing, resource allocation
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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successful candidates will dedicate their efforts to the following specific research objectives: (1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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self‑delivering superchaotropic covalent hybrids; (ii) performing systematic transport screening to identify key physicochemical parameters and build a cargo‑dependent predictive model for covalent