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Programme. We are looking for a candidate with demonstrated experience in both (i) mathematical and/or computational modelling of bacteriophage systems, and (ii) experimental research on bacteria and / or
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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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Job Description Are you passionate about computational modelling and elastomeric materials? We are looking for a Postdoc to develop and apply state-of-the-art models for elastomeric materials and
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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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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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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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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