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Field
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. This project seeks to overcome key workflow and precision limitations in HDR brachytherapy by enabling real-time adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU
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developing and optimizing models to predict disease progression and create realistic patient profiles. Building and optimizing pipelines for pre-processing and integrating biological data sources (clinical
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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in a strongly heterogeneous setting (e.g., CPUs+GPUs). Additionally, this work can benefit from the developments of WP1 and WP2 of Exa-SofT around the development of optimization techniques
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to be developed: Implement and optimize inkjet printing processes using Fujifilm Dimatix printers, both in ambient and inert conditions. Optimize photochromic films printed on various substrates
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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experimental independence, including the design and execution of animal studies, development and optimization of molecular and cellular assays, and data analysis and interpretation. Candidates should be
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(at least 3 months). Experience in development and optimization of lipid nanoparticles. Experience in cell cultures and nanoparticle assays. Experience in in vitro models of ocular tolerance. Experience in in
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence