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establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical
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must hold a degree equivalent to a Norwegian doctoral degree in astronomy, physics, statistics, informatics or related topics. Candidates are encouraged to apply before the completion of their PhD degree
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. They should have experience of collecting, analysing and managing large datasets including survey, statistical, interview, focus group, observational and secondary data. The candidate must have good
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inspire each other, driving forward innovation on an international platform. You will hold a PhD and will on the way to demonstrate potential for research excellence in your field. Highly organised and
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the physics of the universe from the Milky Way to the Big Bang. Currently the group consists of 4 permanent staff members, 1 post-doctoral fellow, 5 PhD students, and 3 Master students, and we expect to be
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, mathematical modelling, machine learning and music technology. One PhD student or postdoctoral fellow will be recruited to each of these four fields and this group will work together on the AUTORHYTHM project in
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methods and statistical analysis as well as routine documentation with GitHub Demonstrated knowledge on ‘omics` laboratory methods Experience working with biological oceanographic methods (primary
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in English Proven skills in R language, molecular ecology methods and statistical analysis as well as routine documentation with GitHub Demonstrated knowledge on ‘omics` laboratory methods Experience