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on the expertise of the seven research groups involved, using a combination of experiments in cellular and animal model systems, mathematical modelling, machine learning and music technology. One PhD student
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combination of experiments in cellular and animal model systems, mathematical modelling, machine learning and music technology. One PhD student or postdoctoral fellow will be recruited to each of these four
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-developed international network. A PhD candidate focusing on Digital Twin technology will be appointed and work closely with the appointed postdoctoral researcher. The team crosses disciplines from
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- the primary supervisor for the position, Gunnveig Grødeland, and Anders Strand , as well as a well-developed international network. A PhD candidate focusing on Digital Twin technology will be appointed and
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degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only
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, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved
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equivalent to a Norwegian doctoral degree in Epidemiology, Biostatistics, Computational Biology, or a related field, with a strong quantitative background. Doctoral dissertation must be submitted
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next generation sequencing, single cell sequencing, bioinformatics and biostatistics for multiomics analyses. This project will be carried out in close partnership with a diverse team that spans multiple