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Position Summary: The Data Modeler plays a critical role in the development and implementation of a data management strategy that supports the organization's strategic goals and operational needs
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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Development and validation of PCCT-based biomechanical models for stratifying patients with vertebral metastases (PCCTSPINEFE) School of Medicine and Population Health PhD Research Project Self
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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investigations and geochemical modelling. Specifically, you will: Characterise variability in mineralogical and petrophysical properties resulting from fluid–rock interactions under representative reservoir
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 14 hours ago
, are considered. The participant will gain experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and