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, updated 2025/11/03, listed until 2026/05/16 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https
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analytics solutions; interoperability standards (e.g., HL7, FHIR); biomarker or phenotype modeling; Bayesian or predictive modeling; or the analysis of genomics or other omics-scale data. Experience
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field
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predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients. More information about the lab can be found here
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refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation; Supervises graduate research assistants and student interns working
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analyze particle precipitation from low-altitude spacecraft, in conjunction with particle and wave measurements from near-equatorial spacecraft, and theoretically model electron precipitation driven by
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questions for both Biogeography and Quaternary Palaeoecology, and the answers provide the basis for predictions of ecosystem and species response to future climatic change. We are looking for PhD candidates
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs
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model biases, and identify sources of predictability. The project will involve; 1) rigorous interrogation of NOAA GFDL's CM4X simulation output with respect to coastal sea level variability and relevant
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind