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Field
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socio-marine ecosystem models Marine and coastal socio-ecosystems such as Dublin Bay are highly complex systems subject to accelerated climate change. They are characterised by interacting biological
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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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
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from Alliander, with regular on-site visits and direct access to the practitioners who will use your models for congestion forecasting, spatial energy planning and flexibility assessment. You will
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models to integrate observations across biological and spatial scales; publishing your findings in international peer-reviewed journals; presenting your research at national and international conferences
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to characterize forests and their biodiversity. The research will focus on developing multimodal learning approaches that combine complementary forest information across data sources, spatial scales, and time. A
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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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(further funding will be applied for) and focuses on power systems engineering in the context of the next phase of Iceland’s energy transition. It builds directly on established modeling work at Reykjavík
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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UiO/Anders Lien 16th October 2026 Languages English English English PhD in spatial genome organization and gene regulation PhD fellowship Apply for this job See advertisement About the position A