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environmental epidemiology and biostatistics and will write and publish three scientific articles in peer reviewed journals during the PhD. The overall aim of the project is to exploit unique data that have been
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environmental epidemiology and biostatistics and will write and publish three scientific articles in peer reviewed journals during the PhD. The overall aim of the project is to exploit unique data that have been
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strong statistical background with a master's degree or a PhD degree in statistics or equivalent mathematical or technically oriented subjects. Experience with statistical software such as R and STATA, and
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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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segment of their class with respect to academic credentials. Essential qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in Epidemiology, Biostatistics, Computational
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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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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 applicants with
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Sciences, department for biostatistics. The position is combined with a full-time position as senior researcher at the department of Medical Genetics, Oslo University Hospital. For further Description
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-driven machine learning, is seeking to recruit a fulltime PhD student at the UiT The Arctic University of Norway for a cross-disciplinary project across machine learning, statistics and logic, which is
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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