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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 work closely with the appointed
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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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research is an advantage. The position is open to applicants with a PhD in cancer genomics, computational biology, bioinformatics, biostatistics, or related fields. The appointment is a fulltime position for
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scientific environment, consisting of academic staff members, Ph.D./Postdoctoral fellows, and students with scientific expertise ranging from theoretical methods (machine learning, biostatistics
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interdisciplinary, with elements of computational biology, biostatistics, and machine learning. The position is within a diverse team, including several members in the Department of Mathematics working
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for disease progression); doi.org/10.1038/s41746-019-0140-y (this approach applied to severe malaria progression) The project is interdisciplinary, with elements of computational biology, biostatistics, and
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interdisciplinary, with elements of computational biology, biostatistics, and machine learning. The position is within a diverse team, including several members in the Department of Mathematics working
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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