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factor will be applied per country, therefore the exact gross salary will be confirmed upon appointment. Please consider that the net salary may be notably lower due to taxes, social benefit premiums etc
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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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) 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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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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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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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be