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the occurrence and composition of VOCs in rainwater and their implications for ecosystem processes in Mediterranean environments. The research will combine field observations, advanced chemical analysis
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: Synthesis and functionalization of nanoparticles. Modification and loading of extracellular vesicles. Analysis of data related to the cellular uptake of nanoparticles and extracellular vesicles. Where
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for the processing, analysis and interpretation of large volumes of scientific data, as well as to the integration of artificial intelligence-based tools into highly technologically complex research environments
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across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks. The research will involve both empirical and methodological contributions
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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involves the analysis of experimental data, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely with multidisciplinary
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. Background in the field of Organic and/or Organometallic chemistry. Experience in the analysis of organic compounds (especially NMR methods). Experience in synthetic molecular chemistry under inert gas. Good
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and carry out experiments to investigate pharmacological mechanisms, using various techniques and laboratory equipment within the framework of the strategic lines detailed above. Data analysis
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mHealth acquisition systems based on smartphones and wireless sensors. Design and development of algorithms for multimodal biomedical signals analysis based on advanced signal processing and AI models
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human brain organoids, biosensors, biomarker detection technologies, microfluidic systems and computational data analysis. The candidate will contribute to experimental design, data analysis, scientific