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Field
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technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution
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of climate-friendly transport solutions may affect how companies and public sector entities are distributed in space, both within and between regions. This raises questions about how and to what extent a
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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distributed across social space, whether residential, organizational, or relational. Segregation is a recurring topic in analytical sociology, offering a key example of how interacting individuals may
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the following research areas providing a template for relevant directions: Research Topics: -Distributed task planning and navigation for collaborative manipulation -Motion planning for non-circular unsymmetric
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. The project aims at three significant academic contributions: (1) to explore and map out distinctive moral reasons to be concerned with extreme wealth from the perspective of distributive justice, (2
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generation, distribution and consumption of information. Entrepreneurship, strategy and organizing for enhanced sustainability, including diversity and inclusion. Entrepreneurship, strategy, and organizing in
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indicators beyond current proxies. High-Speed Rail (HSR) and National Spatial Optimisation Examine how HSR infrastructure reshapes urban and regional population distribution, and develop a multi-objective
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution