59 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions at Aalborg University in Denmark
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; Quantum Systems Analysis and Synthesis ; Systems Design & Development Practices ; Web Science and Engineering The place of work can either be at the Aalborg Campus or the Copenhagen Campus. It is therefore
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), and the candidateshouldbeprepared to engage students in real-world, interdisciplinarychallenges. Bothteaching and research should approach the United Nations Sustainable Development Goals (SDGs
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to join our research team focused on the development of SatCom system analysis and design. The research will focus on modelling satellite constellation simulations for Danish/Nordic Defence & Emergency
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dynamicsthatshape urban and regional development. Teachingwillprimarilybe in the master programme of Urban Planning and Management (in English) as well as the Bachelor programme in Urban, Energy and Environmental
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, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following: Application, stating reasons for applying, qualifications in
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the development of innovative and energy-efficient thermochemical processes that enable a sustainable, de-fossilized carbon economy. We explore renewable carbon sources and investigate optimal conversion pathways
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Graphics and visual media interaction is available from February 1, 2026. The Department of Architecture, Design, and Media Technology (CREATE/AAU) has as its goal the development of an innovative cluster
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explore large genomic datasets. Your tasks will include quantitative data analysis, sequence processing and evaluation, and pipeline development and automation. It is expected that you will lead the writing
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well as collaborating on adjacent research topics. As a Post-Doctoral Researcher, an additional and greater emphasis is placed on the development of independent research that can benefit both the field and the project
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expected evolution of these critical properties as the basis for safe reinforcement learning (RL) for on-line optimal control”. In particular, the stipend will investigate enhancement of RL controllers in