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: using time-series and comparative datasets to build dynamical models that link developmental processes to evolutionary outcomes. Predictability of evolution: creating integrative models that combine
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project starting in the fall of 2025. The project proposes a multi-dimensional cascade approach for highly polluted post-consumer wood waste via a series of Pilot Validation Trials with aim to reduce the
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areas at the department include economic growth and structural change, innovation, energy and sustainability, development economics, and economic demography, as well as financial history and education and
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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography
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financial support from the Swedish Energy Agency and the cooperation with the Umeå University. The overall aim of the project is to develop effective ionic liquids (ILs) as promoters to improve performance
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compensated for this critical service to society. In this project we will study the prospect of financially compensating private landowners for more biodiverse Swedish forests. There are several tools
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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and positive societal impact. In safety-critical domains such as healthcare or autonomous driving, as well as in security-critical systems including AI-native networks or financial services, AI/ML
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first in Sweden in business administration and economics and first in Europe and second in the world in entrepreneurship. In the latest Financial Times European Business School ranking, JIBS was ranked
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financial transactions and activities as well as support audits. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence, IoT, and SoS