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function, with a particular emphasis on DNA/RNA-LNPs for next-generation gene therapeutics. Your tasks This PhD position is part of a larger EU-funded project focused on the metrological characterization
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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solution for through-thickness reinforcement of FRPs. Your tasks You will work in collaboration with a postdoctoral researcher/scientist mainly on: Design and manufacturing of SMA Z-pinned FRPs SMA
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Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination and
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the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission quantification. Apply your methods to real
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fluency is not needed but considered a plus. You are a dynamic and curious person, highly motivated to work to face environmental challenges, in multidisciplinary and international collaborations. Our offer
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multidisciplinary team of researchers working on different topics with particular focus on surface properties and functional materials. Plasma technology plays a major role in our vision on how to push science