207 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" "St" "St" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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. TIK is home to 40 staff members working in research, education and research communication in innovation and science and technology studies (STS). A major part of TIK’s activity is externally funded
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society (STS). The thesis should be within a specialisation of relevance to the project. Applicants must have fluent oral and written communication skills in English and speak a Scandinavian language
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the Translational Research Accelerator (TRA) theme that will contribute to model development and establishment, to address clinical questions raised within the three projects. The PhD project will be within TRA, and
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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
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to the development of next-generation AI-enhanced finite element methods for robust structural design. You will be part of a dynamic and internationally oriented research group with strong expertise in solid mechanics
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research profile: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/ Qualification Requirements Qualification Requirements Applicants must have a relevant
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research profile: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/ Qualification Requirements Qualification Requirements Applicants must have a relevant
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https