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, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in 2010
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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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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-acting sensing of supply and demand, facilitate optimal operation of transport services, and advances learning and evolution in complex environments. The project focuses on six thematic mobility management
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Postdoc position to support international research and capacity-building projects employing elect...
Imaging of Groundwater in Complex Ethiopian Geological Settings (2025–2028)”, implemented in partnership with the Ethiopian Ministry of Water and Energy (MoWE) and Addis Ababa University (AAU). Job
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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measurements A good understanding of advanced physiological techniques Experience with enzymatic in vitro assays and plant x climate interactions Experience in complex data handling and statistical analysis
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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance