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- Institut Català de Nanociència i Nanotecnologia
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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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team on this research topic: “Control of quantum entanglement and electronic coherence in attosecond molecular photoionization”, Koll et al., Nature (accepted 2026) “Attosecond delays between
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coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of the semiconductor industry. The selected candidate will join the Quantum Hardware group lead by
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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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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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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