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21 Feb 2024 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics » Statistics Researcher
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with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge-driven machine learning
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participation in fieldwork Processing samples for next-generation sequencing, metabarcoding, analysis of trophic morphology, and analysis of growth trajectories Bioinformatic and statistical analyses Writing
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dynamics) processes influencing energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab
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collaboration with an interdisciplinary team of researches (REGFORSK ). The candidate will receive close supervision in collaboration with clinical, epidemiological, statistical, and econometric expertise. Your
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precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement. Experience from following is
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energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement
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analyses related to the experiments (statistics, programming, interpretation of microbiota data from e.g. 16S rRNA gene sequencing) The successful candidate is expected to engage into a progress plan for a
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or retain water. Our Faculty is involved in developing knowledge in this subject via domestic and international collaborative projects, using experimental data collection, statistical learning and numerical
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of evapotranspiration using remotely sensed data and climate data. Statistical- and scenario analyses addressing impacts of treeline expansion on runoff. Write and publish scientific papers. The successful candidate is