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Field
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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under the supervision of Guillaume Schull within the framework of the ERC AETHER project, dedicated to the study of photo-induced phenomena in organic nanostructures at the ultimate spatial scale. The PhD
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join the NWO-KIC project RISE – Resilient Integrated Systems for Ecosystem restoration as a PhD candidate. You will co-develop an interactive spatial decision-support framework for agrifood transitions
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nevertheless remain regarding the coupling of electromagnetic levitation with the use of a DC magnetic field. In particular, the effects of the intensity, orientation and spatial uniformity of the DC magnetic
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Politécnica de Madrid, aprobado en la UPM. Additional comments We are offering two fully funded PhD positions at the Technical University of Madrid (UPM) within the ERC CoG project “Scalable Spatial Sensing and
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photogrammetry now enable the digitisation of spatial environments across urban, natural and indoor settings. However, raw 3D observations generally remain largely unstructured and difficult to directly exploit
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processes, and team dynamics within entrepreneurial ventures. New venture creation, growth, and exit, including international entrepreneurship and the spatial, regional, and institutional conditions for
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and analytical skills, experience with spatial ecology and movement analyses, and the ability to work effectively in a collaborative, multidisciplinary research environment. Qualifications: Applicants
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You