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). This exciting translational role sits at the intersection of innovative stem cell engineering and disease modelling, targeting genetic, metabolic, and immune-driven pathologies. You will utilise proven kidney
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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energy system is undergoing a fundamental transformation driven by the rapid integration of renewable energy, electric vehicles and large-scale AI data centers. Power electronic converters play a pivotal
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
schools, clinics and water facilities, while reducing dependence on diesel generators and promoting circular economy solutions. The work will mainly focus on modelling, algorithm development, simulation
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candidate to join an interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work
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topics of education, culture, management/technology, sustainability and state. Its international study model with the Leuphana College, the Leuphana Graduate School and the Leuphana Professional School is
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hydrology, geosciences, environmental sciences, engineering or a closely related field with experience in environmental sensing You are enthusiastic, curious, self-driven and committed, willing to handle
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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manufacturing methods for electric machines, including additive manufacturing and automated winding techniques. Experience with AI/ML-assisted motor design optimization or data-driven modeling approaches