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EURL activities - Assist in method development and validation - Contribute to technical reports, research projects, and scientific publications - Liaise with network partners across Europe as part of
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including research management, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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grant applications, as well as access to a well-established research network. Moreover, you will have the chance to help build a strong research community and contribute to the development of a high
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(RUC), and the Software Improvement Group. Your work tasks As a postdoctoral researcher at Aalborg University, you will lead the AI modeling work in GREENSQL. This includes designing energy-consumption
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of publications in high-ranking international peer-reviewed journals Contribute to public dissemination of policy and management relevant knowledge Participate in network building activities both internationally
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University (RUC), and the Software Improvement Group. Your
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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO2 feedstock scenarios (e.g