362 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Norway
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- University of Oslo
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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- University of Agder (UiA)
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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://www.mn.uio.no
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texts. 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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from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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PhDs, that together will work and learn as an international cohort and collaborate across projects to bring together insights anchored in different sectors and countries. The candidates will conduct
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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://www.mn.uio.no/english
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doctoral degree in cryptography or a related area. Good oral and written presentation skills in English. The ability to teach courses at the department (https://wiki.math.ntnu.no/emner ). PLEASE NOTE: For
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: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C
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strengthen the scientific knowledge base for teacher education and professional practice in schools, kindergartens, and other learning arenas, as well as developing new knowledge about children and young
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English English 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
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of Singapore). The goal of RESPIRE is to develop Machine Learning (ML) solutions for sleep-related disorders of infants and patients with chronic obstructive pulmonary disease that receive mechanical ventilation