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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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at the earliest on 1st August, 2026. The position is funded by the Marie Skłodowska-Curie Doctoral Network (MSCA-DN), on “Understanding Lipid ImmunoMetabolism to treat disease” (UNLIMITED) within the Horizon Europe
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(passive positioning), and its implementation in cellular infrastructure. Extraction of analytics from multiple target users. Where to apply Website https://networks.imdea.org/job/phd-position-in
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
in computational modelling, medical imaging, artificial intelligence or therapeutic ultrasound. • Good communication skills and ability to work in multidisciplinary teams. • Good command of English
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(e.g. RedCap or similar systems). Capacity to coordinate multiple tasks and work effectively in a multidisciplinary environment. Strong communication and organisational skills. Desirable: Ability
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(e.g. RedCap or similar systems). Capacity to coordinate multiple tasks and work effectively in a multidisciplinary environment. Strong communication and organisational skills. Desirable: Ability
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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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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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to physics analysis (1 point for organising multiple events; 0.5 points for a single event) ◦ Publications as single author or with few authors, independent of large experimental collaborations (1 point