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AI-driven creativity with clear environmental performance feedback early in the architectural design process. This phase is characterized by high uncertainty in data availability and design parameters
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decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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by a collaboration partner Perform a comprehensive CFD-based sensitivity study to reliably assess the impacts of key sub-models (e.g., green fuel combustion mechanisms, radiative heat transfer
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Performance Measurement is available starting February 1st. 2026. Your work tasks The position is as part-time external lecturer. Teaching will primarily be in Management Accounting and Performance Measurement
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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of combined classical and quantum communicating and computing systems as well as their timing performance is available and open for appointment from March 1, 2026, or soon as possible thereafter. In
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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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. Statistics for high-dimensional data. Stochastic volatility models. Time Series modeling in continuous and discrete time Developing the Group for Research in Econometrics And Time series including attracting