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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
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administrative duties, up to a maximum of 20% of full-time. The working language is primarily English, but you are expected to acquire basic knowledge of Swedish during the employment period. More information
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application