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, integrated satellite-terrestrial networks, quantum communications, spectrum management, tactile internet, earth observation, and autonomous transportation. We leverage advanced technologies like semantic data
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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the mechanisms of impact resistance in existing materials and their relevance to vitrimer systems · Ensuring the production and characterization of bio-based epoxy and benzoxazine-based vitrimers, with a
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Composer Studio. · Solid understanding of programming languages, particularly C# and Python. · Proficient in control systems design and analysis using MATLAB. · Excellent communication
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new
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-matter interactions, optical manipulation and computational modeling to transform innovative ideas and concepts into cutting-edge instruments and methodologies. Our RDI portfolio encompasses all levels
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, to support our activities within the NEUROH-CHANGE project (Resilience of Neurological Health in Global Change: A One Health Approach). NEUROH-CHANGE is an interdisciplinary research program aimed at enhancing
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover...