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model of the Inspection Testbed. Use CS Ontology elements or add new elements if necessary. Include requirements, verifications and traceability. Include resilience KPIs in the model. Upload the model
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studying vascular biology, pancreas physiology or diabetes • Knowledge and Experience with programming, signal processing, or numerical modelling • Knowledge and Experience working with rodent animal
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authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future MINIMUM QUALIFICATIONS Knowledge and skills required for this position are normally
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. Ability to work independently, multi-task, use good judgment, work under pressure and meet deadlines. 4. Fundamental knowledge of financial and economic concepts, modeling and analysis. Fundamental
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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to: -Identification and analysis of existing quality evaluation frameworks and models for the assessment of interlingual live captions, including the most frequent workflows used and in varied language pairs (EN-ES, EN
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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for vehicle applications; Abilities in using Finite Element modeling and analysis; Knowledge of injury biomechanics; Knowledge of Artificial Intelligent (AL) and Machine Learning (ML) techniques; and Abilities
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that combine AI and traditional modeling and simulation (ModSim). You will work with cutting-edge exascale systems and novel AI hardware, collaborating closely with science application teams, academia, industry
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- 10 Additional Information Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field. Selection process Please see https://resurseumane.ase.ro/non