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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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UiO/Anders Lien 6th January 2026 Languages English English English As part of the StraDiVarious Doctoral Training Network PhD Research Fellow in Molecular Microbiology See advertisement About the
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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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Fellow appointment with benefits. Term: Two years Qualifications: The ideal candidate would have the following skills and attributes: PhD in Statistics, Quantitative Ecology, Mathematical Biology
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Training Network PhD Research Fellow in Molecular Microbiology See advertisement About the network StraDiVarious (Strains, Diagnostics and Variants ) is a European-wide intersectoral doctoral training
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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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develop and refine mathematical models of microbial interactions capable of predicting dynamics of engineered communities, and implement computational simulation, design, and inference frameworks
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completed PhD in evolutionary genomics, bioinformatics or a related field. Experience in generating and analyzing ‘omics data, particularly in non-model species. Strong bioinformatics expertise: e.g., genome
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of snow across catchment and regional scale areas. The PhD candidate is expected to quantify, through a combination of in-situ and remote sensing observations, as well as climate and snow models of varying
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modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages