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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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surface properties. Many of these properties are believed to represent adaptations to specific environmental conditions, resulting in distinct distributions of certain combinations of leaf properties
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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seismic gap in the vicinity of the Istanbul urban area. This project is funded by the national funding program Deutsche Forschungsgemeinschaft (DFG) and focuses on the analysis of Distributed Acoustic
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
and distribution of the above-mentioned microbes in oxygen-depleted environments Identification of the enzymes catalyzing the NO-dismutation reaction in AOA. Exploration of the physiological adaptations
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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a