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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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will focus on biochemical/ cellular processes responsible for calcium carbonate precipitation, in particular in relation to seawater pCO2 and temperature. Using a broad array of (analytical) equipment
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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of VRE. Based on analytical and state-of-the-art market models, the aim of this Phd is to utilize and develop multi-market models that incorporate electricity spot markets and markets for system services
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positioned at a high analytical level and aims to advance risk science by integrating systemic risk theory with data-driven and AI-supported analysis. Emerging energy systems are characterized by strong
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is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce