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                Employer- University of A Coruña
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- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
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- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
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                . The PhD student will investigate how mycoviruses influence pathogenic and nonpathogenic microorganisms in plants. The work will contribute to sustainable control of plant disease through preventive and 
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                that allows us to offer advanced traceability, monitoring and automation functionality. Analysis, design and implementation of prototypes with identification technologies and marking techniques 
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                to €7,000 in funding, fostering global collaboration and visibility. The PhD will be hosted at the Language and Memory Control Group, BCBL (Severo Ochoa Centre of Excellence), an exceptional training 
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                adjustable pore size. Complete characterization of the synthesized anostructures and stability and controlled drug release studies in biological media. Where to apply Website https://sede.uvigo.gal/public 
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                characterization of advanced materials with unique properties for innovative engineering applications. We develop materials with precisely controlled nanoscale microstructures, enabling enhanced mechanical, magnetic 
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                motivated candidates with passion and a strong interest in conducting research and innovation activities on the role of the nasal microbiota for respiratory disease control in pigs. The nasal microbiota has 
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                command (spoken & written) of English language LanguagesENGLISHLevelGood Research FieldBiological sciences Additional Information Benefits A full-time PhD contract for 4 years Competitive salary 36 days 
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                must be a legal resident in Spain. 2.5. Have a good command of any of the official languages of the Valencia Region for the performance of the job. 2.6. Be at least 16 years of age and not exceed the 
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                seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected 
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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