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measurements and remote sensing, biogeochemistry, environmental microbiology, industrial ecology, aquatic processes, modelling and data analyses approach in environmental science (e.g., GIS, LCA), or equivalent
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, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key
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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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, Fisheries and Economics (BFE), UiT – The Arctic University of Norway. The position is affiliated with the Arctic Marine System Ecology research group and is part of the Polhavet 2050 programme , Research
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effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops
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, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
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ecologically relevant exposure scenarios. The PhD position is funded by the Research Council of Norway through the Norwegian Nuclear Research Centre (NNRC) which is an interdisciplinary collaboration between
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(MSCA-PF) to pursue a career in research. We invite applications from promising young researchers within the field of Computational Biology & Ecological Modeling. The selected candidate will write a
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in fungal biology/ecology Apply