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the Heureka decision support system to analyse how different forest management strategies affect biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind
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setting where ideas grow into real impact. At the division of Computing Science , we advance secure and trustworthy software and systems, spanning foundations, programming languages, tools and practical
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and cellular mechanisms by which inflammation affects the nervous system, including pathways involved in pain, neuronal dysfunction, and structural brain changes. The position is situated within a
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battery degradation is governed by complex and coupled physical processes and is strongly affected by operating and environmental conditions. However, the internal health of batteries remains difficult
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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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approaches, methods and digital solutions to describe strengths, difficulties, participation and the impact of environmental factors at individual, organisational and societal levels. The work is carried out
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will strengthen your application: Experience in developing technology foresight models Experience in policy analysis Experience in publishing in high impact journals is preferred What you will do Develop
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involved in the project. Publish research findings in high-impact scientific journals and present results at national and international conferences. The main purpose of the post-doctoral position is to
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of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact
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imaging, with potentially high impact in life, environmental and materials sciences, and high-throughput analysis. As a postdoctoral fellow in this project, you will have the opportunity to: Gain in‑depth