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- Institut Català de Nanociència i Nanotecnologia
- Cancer Research Foundation of the University of Salamanca
- Fundació per a la Universitat Oberta de Catalunya
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Institute of Materials Science of Barcelona (ICMAB-CSIC)
- Universidade de Vigo
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areas of nanoscience and nanotechnology. Job Title: PhD STUDENT (INTRANASAL TREATMENT AND IMAGING OF NEUROLOGICAL DISORDERS USING NANOPARTICLES) Research area or group: Nanostructured Functional Materials
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for imaging blood flow dynamics in cancer using nuclear imaging techniques. This position involves pursuing a PhD thesis under the supervision of Dr. Pellico as part of the project "NanoFLOW” funded by
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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similar tasks and subject matter. Technical Skills: Cryptography and programming skills. Knowledge of one or more of the following areas: Homomorphic Encryption (FHE). Multi-Party Computation (MPC). Zero
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(digitised signals, geopositioning data and inertial units, video/images) (punctuation: 15) Item 04: Personal interview. The interview will only be carried out with the 3 candidates with the highest score in
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mission and/or the Sunrise III stratospheric balloon, with the possibility of combining these data with other space missions and ground-based observations. • Analysis of images, spectra, and polarization
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. Cell culture and genetic manipulation, including lentivirus production, transduction, transfection, and CRISPR/Cas9 genome editing. 2. Live-cell imaging using confocal microscopy, along with quantitative
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a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles-enabling rapid, transparent, and reproducible design of advanced electrocatalysts. Main
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fabrication techniques suitable for large-scale production. The program trains researchers through a multidisciplinary approach with applications in communications, thermal management, sensing, and imaging
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. MAIAMI aims to establish a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles—enabling rapid, transparent, and reproducible design of advanced