114 data "https:" "https:" "https:" "https:" "UCL" positions at Aalborg University in Denmark
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems. The Center for Classical Communication in the Quantum Era (CLASSIQUE) is a pioneering
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Measurements and Data Processing as per June 1st, 2026, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Learning Strategies for Data Driven Process Control is open for appointment from 1.02.2026
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems How to apply Your application must include the following: o Application, stating reasons
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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-supervisor is Assistant Professor Jeanette Falk (jfo@cs.aau.dk), Department of Computer Science. For information on Jeanettes profile, please see: https://vbn.aau.dk/en/persons/jeanette-falk/ https
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims