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physiology and nutrient assimilation. Controlled feeding experiments will trace trophic transfer into zooplankton and higher consumers, generating quantitative coefficients for ecological risk models. Finally
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description The position is ideally suited for candidates with interests in Arctic ecology, movement ecology, population dynamics, and ecological modelling. As part of the position, you will be: co-developing a
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degree in the scientific area of Biology, Ecology, Environment, Natural and/or Forest Resources, Nature Conservation or related fields, obtained within the three years prior to the start date of the grant
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networks for deep learning on dynamic graphs. arXiv preprint. Trantas et al (2023). Digital twin challenges in biodiversity modelling. Ecological Informatics. Borowiec et al (2022). Deep learning as a tool
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/duration 15.02.2026 for 4 years Job profile: Your tasks: Dissertation in the field of ecological data-driven computational design Independent research in the field of computational design and fabrication in
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 25 days ago
: Environmental sciences Admission requirements: The candidate must hold a PhD in Biology, Ecology, Environmental Sciences, or closely related fields; Demonstrated expertise in ecological modelling, experience in
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 11 days ago
(Greenway et al., bioRxiv 2025). Together, these work pave way for combining the empirical tractability of our study system, including the model organism species C. elegans, with the relevant ecological
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within a Research Infrastructure? No Offer Description Effective management of NORM and legacy sites across Europe increasingly depends on our ability to quantify ecological risks from complex mixtures
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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applications in the respective scientific fields. Key areas of focus may include, but are not limited to: - Chemistry and Molecular Modelling: Using AI to advance computational chemistry and molecular design