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This PhD projects starts from the question: How do planning techniques shape decisions around the governance of risk and development and the kinds of urban futures that become imaginable? In planning
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part of a European collaboration working with institutions across 16 countries. John and Richard have over a decade of experience developing, translating into practice, and commercialising assays
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
work closely with a second PhD student, primarily based and supervised at Gepetto, and focusing on the development of RL motion generation and simulation-driven co-design tools. The two PhD projects will
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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cardiovascular medicine problem. The central aim is to develop next-generation computational approaches to identify the electrical signatures of diseased cardiac tissue and improve the targeting of VT ablation
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Smoleński at the Department of Physics, University of Base, in collaboration with the group of Prof. Martino Poggio, is searching for a new PhD studentto develop a platform for local sensing of collective
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under future climate and fishing scenarios. What are you going to do? You will develop stage‑structured population models for both species, explicitly including life‑history processes, sea‑ice dependence
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internal and external stakeholders. About Community and Economic Development Extension and Outreach: Iowa State University Extension and Outreach is a catalyst for growth and change, working alongside local
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, such as oxygen or hydrogen evolution, dramatically affect the local environment pH. This phenomenon becomes a major source of complexity for understanding the long-term nanocatalyst behavior and the