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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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deviation analysis of probabilistic models, and associated problems in PDE, with emphasis on identifying both well- and ill-posed examples and the interplay between probabilistic analysis and the analysis
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://www.mn.uio.no/ibv/english/people/aca/dirkl/index.html Håvard Haugen: https://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models
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on the applicant’s interests. Possible themes include: 1) the changing Meridional Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport
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, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions Other topics are also of
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-teractions, with an emphasis on observational and modeling studies of how natural aerosol (e.g. emitted from volcanoes) and anthropogenic aerosols (from inadvertent or intentional emissions) affect clouds
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Meridional Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions
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Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions Other topics
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in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with chemical
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? Contribute to a deeper understanding of the composition of the crust of the earth? Explore how to benefit from recent research in foundational neural models that learn from large unlabeled image datasets, also