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Field
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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
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services (fast frequency response, voltage control, etc.) were not designed to handle at scale. The project will characterize current and benchmark Nordic/EU frameworks, develop spatially/temporally resolved
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
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on the other hand, the climate crisis with far-reaching environmental consequences like changing water-levels. Translated into policy, both crises demand space and new spatial constellations, but
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et al., 2022; Jomelli et al., 2022, 2024). In parallel, glaciological studies conducted in recent years across the entire mountain range reveal strong spatial variability in surface mass balance (SMB
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palaeoenvironmental datasets of different temporal and spatial scales, with complicated uncertainties, is also essential. The candidate will work in a leading global centre for deep time and contemporary social and