27 Statistics "Wellcome Sanger Institute " PhD scholarships in United-Kingdom in Norway
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- Norwegian University of Life Sciences (NMBU)
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU Norwegian University of Science and Technology
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- Norwegian University of Science and Technology (NTNU)
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Field
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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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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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Engineering » Other Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1
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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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, proteomics, gut microbiome analyses, and/or other nutrigenomic tools). Process and perform statistical and bioinformatic analysis of data. To generate scientific communication and publications. The successful
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from mice. Treatment of data from different analyses related to the experiments (statistics, programming, interpretation of microbiota data from e.g. 16S rRNA gene sequencing) The successful candidate is
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finite element methods Knowledge of fracture mechanics theory Knowledge of constitutive modelling of materials Knowledge of statistical methods, e.g., Monte-Carlo analysis Experience using non-linear
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finite element methods Knowledge of fracture mechanics theory Knowledge of constitutive modelling of materials Knowledge of statistical methods, e.g., Monte-Carlo analysis Experience using non-linear
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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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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