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Field
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alignment with ERC requirements Obtaining research permits when/if required, contribute to updating the project website and to communicating research findings to the public when appropriate Qualifications and
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particular research field Be structured, solution-oriented, and able to manage multiple tasks and deadlines. Willingness to conduct national and/or international research stays Have good communicational and
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questions, theoretical perspectives, methodological design for the project and progress plan, aligned with the research objectives and expected results described above (maximum 1500 words/4 pages) Short
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. Project proposal containing an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan, aligned with the research objectives and expected
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semantic interoperability Explainable and trustworthy AI aligned with European regulations The PhD candidate will contribute to modelling, system validation, and scientific dissemination within the project
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and resource-efficient engineering solutions. The project is a collaboration between the Structural Mechanics research group and SIMLab at NTNU and is aligned with NTNU’s strategic strategic research
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difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Science and Technology The
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relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description
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Training:Benefit from a unique opportunity to study and collaborate across multiple European institutions, gaining exposure to diverse academic environments and policy contexts. The programme includes institutional
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data