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Field
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One of the changes has been the shift towards energy production from intermittent sources, such as wind and
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(AI) & Deep Reinforcement Learning (DRL) for energy optimization ✔ Predictive Maintenance & Failure Analysis using Machine Learning and Physics-Based Modelling ✔ Data Science & Advanced Analytics with
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internalization into tumor cells, ADCs release their cytotoxic payload, causing targeted cancer cell death via DNA or microtubule disruption. Beyond their direct cytotoxic effects, emerging evidence shows that ADCs
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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distributed manufacturing, -develop semantic models and apply model-driven engineering for reconfigurable system architectures, -implement decision-support tools for energy-aware planning, predictive
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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. Brinkmann) • Ink formulation and printing process optimization: IETR Rennes (Maxime Harnois, Emanuel Jacques and Fabien LUCAS) The research will focus on: • Formulating and optimizing dopant inks for printed