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Field
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monitoring systems, bedside monitoring devices, or medical device data. Experience linking physiologic waveform features to clinical outcomes. Experience with machine learning, deep learning, predictive
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an impact on climate via cloud formation. The MACS project aims to understand the role of mixotrophic protists in Antarctic C- and S-cycles. Such mechanistic understanding will help predict how changing ice
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of experimental and/or simulation data, the development of predictive models linking cellular responses to the properties of the surrounding environment, and the implementation of explainable AI approaches
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into predictive designs for scalable processing technologies, including thermal drawing, co-extrusion, and compounding. Bridge physics and application: Successfully process and encapsulate functional micro
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
, we will engineer smart CAR T therapeutics for solid tumors. Condensates, Chromatin and Translational Control in Pediatric Cancer (Grebien Lab , CeMM/St. Anna CCRI). We develop quantitative and
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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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-generation batteries, with emphasis on thermal runaway, predictive diagnostics, and mitigation strategies. Candidates with strong backgrounds in either experimental battery safety or battery-focused simulation
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research
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pathogen genomics of a project building predictive tools for cotton soil-borne disease management. The work is supported through a cooperative agreement with USDA-ARS and is conducted in collaboration with
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enrich the knowledge base (i.e. learning by interaction); (iii) querying the knowledge base about what was useful in the past to predict actions that might be useful in the present, try them out and update