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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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-scale atmospheric conditions. Most current regional and global atmospheric chemistry models struggle to represent plume processes. Their spatial resolutions are typically too coarse to resolve plume-scale
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; Model relevant processes (e.g., bedload sediment transport, sediment connectivity); Mentor MSc and BSc students (potentially also PhD researchers); If desired, take on teaching responsibilities in
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at https://sites.google.com/view/xiaoyu-song/home . Key Responsibilities: The Research Fellow will undertake both independent and collaborative research, driving innovative projects at the intersection
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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immune responses in the CNS. These tools allow us to track the spatial and temporal dynamics of T and B cell interactions during brain development and disease. This PhD project will uncover fundamental
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candidate will further train language models to identify and quantify uncertainty in reported impact claims, producing confidence scores for downstream risk modeling. Further, the PhD candidate will identify
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural