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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
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regulations, that your arrival be authorized by the competent authority. Bacterial resistance to antibiotics has been identified by the WHO as one of the ten major threats to human health. Innovation in
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sequencing, and mass spectrometry. With multidisciplinary research teams and a dynamic setting, the IBMC offers a stimulating environment conducive to scientific innovation. The IBMC is also affiliated with
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–pollutant interactions, organoids-on-a-chip, and decellularized ECM (dECM), while LMCD specializes in biocompatible hydrogel design and characterization. Novel hydrogels will be developed from dECM, modified
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-permeability cryogenic tanks. Keywords: AFP process, manufacturing defects, severe behavior, residual stresses Skills developed: • Collaborative work, communication • Creativity and innovation
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(Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel utilization. DESIRE
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The DESIRE project (Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel
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used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise
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from this rich scientific environment offered by those institutes located on the GIANT innovation campus.