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samples lacking cellular and spatial resolution. The hypothesis underpinning this project is that obesity alters the cellular content, activation state and, critically, the spatial architecture
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely with other researchers, including other PhD students in connected
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, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios, which leads to shortcut learning and hallucination at test-time. This PhD project focuses on a
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are critically hindered by the language-focussed optimization of current foundation models, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios
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-Spain’s Recovery, Transformation and Resilience Plan 1. First project in which the successful applicant will collaborate: 1.1. Name of the project: “Impact of the spatial-temporal aggregation
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Environmental behaviour o Spatial analysis applied to territorial/regional planning Technical and soft skills · Basic computer skills (Word, Excel etc.) · Proficiency in statistical analysis
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outcomes of this project will help to better retrieve the soil moisture in the presence of vegetation at high spatial resolution and, at the same time, estimate the plant water content. Automatic and
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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of the Earth system at different temporal and spatial scales to improve predictive capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem