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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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or equivalent Skills/Qualifications Requirements: • PhD in Chemistry. (Obtained the degree in a maximum of 2 years before the call). • Experience in 3D printing, tissue engineering and cell culture. • Previous
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal
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funding, with an execution end date of 30 September 2027. Main Responsibilities The researcher will support and contribute to the following activities: Development and characterization of 3D-printed
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indefinite, subject to project funding, with an execution end date of 30 September 2027. Main Responsibilities The researcher will contribute to the following activities: Development and characterization of 3D
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Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
of ultrasound propagation • Numerical modelling in heterogeneous media • Artificial intelligence for treatment optimisation • MRI-guided therapeutic ultrasound applications • Clinical data analysis and
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of time-varying photonic metamaterials. First-principles mathematical modeling of optic-wave physics in canonical geometries under space-time-varying polarization responses. Computer programming and
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review of fire modeling. Improvement of selected models. Analysis of the implications for transport networks. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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METATUNE-MSCA-DN – DC15_Multispectral metalenses for 3D imaging_Photonic Sensors and Algorithms SL_Spain..pdf English (139.17 KB - PDF) Download Additional Information Website for additional job details
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It