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Field
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electro- and thermocatalysis, in collaboration with PhD students. You will: Synthesize catalysts (thin films or metal nanoparticles). Characterize catalysts using a wide range of advanced techniques
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characterizing microalgal protein ingredients using biorefinery sequences, ensuring high yield and multifunctionality Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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program) and a symbolic solver computing the solution. Another example is the generation of surrogate model architectures for complex industrial systems: the generative component proposes models based
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datasets for the ML tool, which will be based on a Tensorial Neural Network architecture, will be provided by Molecular Dynamics simulations also conducted in E-COOL. Person Specification The successful
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sequences, ensuring high yield and multifunctionality Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The position is meritorious
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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Science, Civil Engineering, Architectural Technology or related fields. Exhibits academic excellence, as demonstrated by their PhD thesis and/or publications in relevant fields. Strong programming experience in
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, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
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they respond to different environmental factors. Integrate cutting-edge genomics and computational analyses to investigate transcriptome, epigenome and chromatin architecture. Learn more: Our benefits , where we