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to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow
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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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1st August 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in biodiversity impact assessment development Apply for this job
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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