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developed by partners in the convergence environment. The project involves close collaboration with other PhD students, postdocs and principal investigators within the convergence environment, as
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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 follows
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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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Warning System is the main objective of this position. The frequency domain machine learning applications will be developed by fusing the OptoDAS data that will be collected from the fibre optics cables and
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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The main focus will be the EU’s Research & Innovation Framework Programme (Horizon Europe). However, work may also gather other key European programmes that may be of interest, and may extend
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) monopole and fluctuations, zodiacal dust, and dust emission in the Milky Way. A primary goal of Origins is to create full-sky maps of the CIB as a function of redshift using IRAS, AKARI, DIRBE, Planck, and
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crystallography, NMR), and direct validation using medic-inal chemistry, cell biology approaches and advanced light microscopy. Primary supervisor is Assoc. Prof. Osman Gani, with co-supervisors from the GLIOFORCE
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(X-ray crystallography, NMR spectroscopy) and medicinal chemistry techniques. Primary supervisor is Assoc. Prof. Osman Gani, with co-supervisors Prof. Trond Vidar Hansen (organic chemistry, Dept
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and exemptions 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