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partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a total of 17 doctoral candidates for project work lasting for 36 months. SPACER aims to develop new architectures for porous
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). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
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knowledge Excellent communication skills Fluent in English (written and spoken) Why join us Interesting work in a diverse research environment, combining expertise in materials growth, transport and theory
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Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action
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population genomics protocols will be provided by our collaborators at the European Population Genomics Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands