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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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based in Switzerland, and the candidate will be part of an international network in this area. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science
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is desirable. Familiarity with optimal, robust, or adaptive control approaches, particularly multi-objective formulations balancing energy performance and structural loads, will also be beneficial
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defining limit values suitable for use in LCA-based frameworks. The work may also address targets such as climate neutrality, net-zero, and regenerative performance, as well as methodological challenges
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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to actively engage with the department’s research environment and participate in relevant national and international research networks. As part of the PhD programme, you will complete PhD courses within topics
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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compliance of the developed methods. There will also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data
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, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics actors, industrial firms
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on completion. Links: AAU Business School: https://www.business.aau.dk/ | AAUBS IKE research group: https://www.business.aau.dk/research/research-groups/ike | CAISA: https://caisa.dk/ | SDC: https