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Field
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experience developing cutting-edge computational tools that bridge aeroelasticity, structural analysis and manufacturing constraints for early-stage design. You will get the opportunity to travel
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Grant Agreement No. 101312169. Working tasks: The PhD-project DC14 focuses on the development of an assisting tool for electrical discharge machining (EDM) to gain deeper knowledge on machining states and
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requirements, this position will require full-time physical presence at the NRC work location identified. Note: This is a two (2) year term position with possibility of extension or conversion to indeterminate
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candidates: Education M.A.Sc. or Ph.D. in materials science, aerospace engineering, or a related field with a focus on high temperature materials and application of digital tools such as machine learning
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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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most evaluations to date are task-level, cross-sectional snapshots. They measure one tool at one point in the workflow. Much less is known about how these technologies change work across the whole care
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both written and oral English. Good skills in mathematics and physics with relevance to ionospheric- and plasma physics are required. Experience in analyzing large datasets using programming tools (e.g
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the two. Because the tools to do this do not yet exist, the open-source air traffic simulator BlueSky will be extended into a scenario generator and assessment framework, which will form part of a
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that emerge in AI-augmented teams and the leadership practices that shape them. It should also deliver validated measures and manager-facing workshops or tools that help teams notice weak scrutiny, protect
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should also deliver validated measures and manager-facing workshops or tools that help teams notice weak scrutiny, protect critical thinking and use delegation without hollowing out collective learning