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Field
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lightweight AI models suitable for real-time execution on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms
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represents PFAS removal in GAC systems Validate the model with data from live treatment plants The key impact of this project is: Cost savings derived from operating GAC systems optimally for forever chemicals
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partnerships Represent the organization in international Frugal AI networks Build and supervise a research team, while mentoring junior researchers for skill development and scientific growth. YOUR PROFILE VITAL
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include
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on model surfaces In situ and operando (surface) X-ray scattering studies of catalyst/polymer interfaces Design, optimization, and testing/benchmarking of reactors for in situ and operando studies
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, sustainable multi-salt electrolyte formulations will be developed and optimized for compatibility with hard carbon anodes, with the aim of enabling safe operation, fast charging, and long cycle life. We offer
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participate in an international team in an EU-funded Doctoral Network project called SiCPIC. The project consists of 15 PhD students at 5 universities and one company. The project has partners from five
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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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) at the Ludwig Maximilians University Hospital Munich, Germany. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by