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control tools (TEXTURISE project). The TEXTURISE main objectives are: - To identify the key factors (such as raw materials characteristics and processing conditions) influencing the structure building
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Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa | Spain | about 19 hours ago
, Chemistry of Materials and general knowledge about organic chemistry and solar cells. Good command of written and spoken English is a must. The selected candidate is expected to conduct research, travel
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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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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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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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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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and validating architectures tolerant to faults and interference (jamming/spoofing) and robust to radiation-induced degradation, adaptive beamforming, and AI-based radio control. The role spans models
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tasks would be: Develop and implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and
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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