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studies using cell and animal models, with the aim of increasing knowledge of the biological mechanisms that may explain epidemiological associations observed in the SELMA study. Link to article Within
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in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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created from extracellular matrix (ECM)-based hydrogels or from porous titanium will be fabricated using additive manufacturing and designed to incorporate antimicrobial agents to reduce the risk of
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thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable; they make sense
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application! Your work assignments The primary focus of this PhD position will consist in generating bioengineered models of human trigeminal pain, implement them in organ-on-a-chip systems emulating trigeminal
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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inventorying forest biodiversity. Possible areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling
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areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling new techniques for detecting and
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating