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the application. Details about the groups may be found using the following links: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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computational modeling to identify bacterial strains and metabolites that promote or hinder probiotic establishment. By combining multi-omics data with systems biology and machine learning approaches
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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of the Algebra, Geometry and Topology section. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294740/phd-research-fellow-in-algebraic-topology Where to apply Website https
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294739/phd-research-fellow-in-algebra-geometry-and-topology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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the Theoretical Ecology Group (http://bio.uib.no/te ). The ocean is a physical environment that is dynamic and variable in terms of e.g. light, temperature, and ocean currents. These provide constraints and
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for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within