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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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a project to generate knowledge and impact towards sustainable urban futures. We expect such project will mobilize theories, tools and methods of participatory design and futures studies and can be
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systems using modeling, optimization and even AI-based methods as example tools. For example, AI could be applied in wind and solar power development for example, in analyzing large data systems of wind and
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will be focused on: DC3) Developing and applying new tariff models to end-users, DC4) Developing flexibility quantification methods to enhance DSO and TSO interaction, DC5) Integrated community energy
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows
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. The Nordic perspective aims to understand how energy scarcity manifests in an energy-abundant country. The project utilizes qualitative and quantitative data and methods. The postdoctoral researcher is
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of an AI assistance system for fieldworkers, with a focus on large language model-based solutions for context-aware instruction generation. Your network and team The mobile cloud computing group