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on the development of machine learning algorithms, particularly transfer and adaptive learning, for multimodal wearable biosensing and its translation to rehabilitation and digital health applications. It is co
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with the possibility for collaboration with a range of academic and development projects on related topics, in particular with CoorsTek Membrane Sciences AS which is a leading technology developer of
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fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period
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applicants, emphasis will be placed on: The quality of the project proposal Documented independent research and development work or experience relevant to the project It is mandatory to attach a project
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of qualified applicants, emphasis will be placed on: The quality of the project proposal Documented independent research and development work or experience relevant to the project It is mandatory to attach a
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requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
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the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
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deadlines Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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USN 1st August 2026 Languages English English English Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in
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stages of the innovation process, including idea generation, development, and implementation. The project combines an individual-level focus on cognitive characteristics with an organizational-level