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) for sustainable protein production and functional ingredient development. Design and implement experiments to optimize fermentation processes for the generation of protein-rich chickpea ingredients. Screen
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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disease. Research methods include behavioral, functional, and structural magnetic resonance imaging (MRI) measures. Job description: The successful candidate will receive interdisciplinary training in
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defect engineering in cerium oxide nanoparticles to optimize their redox activity and catalytic properties. This involves aqueous, room-temperature synthesis methods, advanced spectroscopic
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the Spanish National Plan for Scientific and Technical Research (Plan Estatal, AEI/FEDER). The project will develop innovative methods for the integrative analysis of multimodal nutrition data, using ontologies
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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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coatings using techniques like electrodeposition and dip coating. •Develop and characterize porous TiO₂ and metal oxide thin films. •Establish and optimize 3D in vitro skin models for biological testing
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, magnetic, electrical, and mechanical functionalities, through processes that promote decarbonization compared to traditional methods. Doping with nanoparticles will be explored to incorporate advanced
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malformations using chromatographic techniques. Physicochemical parameters related to the formulations will also be characterized. Tasks. Set up, validate and implement methods to evaluate specific drugs
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional