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Field
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developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography
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on solving challenges at the interface of Synthetic Biology, Control Engineering, AI, and Robotics, and their application to global challenges across biotechnology. The approaches taken will depend
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and run the survey across modelling teams, maintain the ranked gap inventory, and quantify residual gross emissions by sector and gap across three global IAMs Contribute to / develop the analytics
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software engineering discipline studying the cost implications of AI and developing strategies for more efficient use of AI (e.g., context management, token management, and balancing use of AI with non-AI
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software engineering discipline studying the cost implications of AI and developing strategies for more efficient use of AI (e.g., context management, token management, and balancing use of AI with non-AI
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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, prototype, and experimentally validate robotic and mechatronic systems for automated handling, positioning, and monitoring of biological experiments Develop integrated hardware-software solutions combining
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so