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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will study diversity at multiple taxonomic levels in space and time of selected
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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doctoral training, interdisciplinary research, career development, and high quality research. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293904/phd-candidate-in
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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on the development of bioinformatic tools and advanced omics- and biomarker analyses. Highly motivated candidates with strong analytical skills will have excellent opportunities to contribute to multiple high-impact
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at multiple taxonomic levels in space and time of selected groups within the petaloid monocots. The candidate will use an integrative approach to these studies, using a molecular phylogenetic framework to study