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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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decline in mountain regions? This doctoral dissertation will look for answers, based on a historical introduction and a series of case studies in a comparative analysis crowned by conclusions and
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of monitoring stations sites. Lab tests and data analysis: Lab work of standard and advanced geotechnical tests, performing quality control. Processing of monitoring and lab data, and facilitating the analysis
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structural MRI data Programming and coding scripts for data analysis Writing research papers under the supervision of the PI, aiming to publish in top-tier journals Dissemination of results at national and
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 21 days ago
estimations, through the study of surface topography and findings, material culture dispersions, its thorough archaeometric analysis (especially of prehistoric pottery), and associated stratigraphic information
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Analysis to examine social entrepreneurs’ networks from a longitudinal and spatial perspective. The project will be supervised by Néstor Vercher (Dept. Applied Economics) and Juan Ramón Gallego (Dept
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related field. Strong expertise in statistical analysis of cognitive and clinical data using standard tools (e.g., SPSS, R) is required, along with a solid understanding of the clinical and biological
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strategies for Energy Communities. - Development of Virtual Power Plants. - Conducting fieldwork for data analysis. Where to apply E-mail contratos.spv@gmail.com Requirements Research FieldTechnology » Energy
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, and structural MRI, alongside hands-on experience in experimental design, data collection, analysis, writing and publishing in relevant journals and international conferences. The student will benefit
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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