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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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correlations. This study will be conducted in collaboration with specialists in microscopy, RX and optical methods, and modeling (DFT/molecular dynamics). - Modeling the NMR parameters of selected lithium
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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those