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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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, epidemiologists and patient partners. Publishing scientific articles in international peer-reviewed journals and presenting findings at international conferences. Contributing to the development of future
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and from adaptive building to spatial dispersal policies) – feed through to interest rate premia for a country on the capital market, capital requirements for banks and insurers, the investment climate
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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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depend closely on sea ice and under‑ice habitats, while salps thrive in warmer, often ice‑free waters. Warming and sea‑ice loss are already shifting their distributions and increasing spatial overlap, with
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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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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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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particles and flowing water across different spatial and temporal scales, while keeping the models computationally efficient. The research builds on an Eulerian two-phase modelling approach previously applied