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Colloidal Quantum Dots (QDs) are nano-sized crystallites notable for their exceptional semiconductive properties, which were recently acknowledged with the Nobel Prize in Chemistry.

This project focuses on the design of lipid nanoparticles (LNPs) for efficient RNA-based therapeutics delivery, addressing critical challenges in the field.

Radiotherapy (RT) is one of the most frequently used methods for cancer treatment (above 50% of patients will receive RT).

This project is concerned with the general problem of nano-pollutant removal. The final objective is to provide a reliable framework for the study of aggregation and removal of suspended solids by means of Nanobubbles.

This proposal develops an AI-driven, multi-pollutant model for operational regional air-quality forecasting over Europe, implemented within ECMWF’s Anemoi framework.

Contact line phenomena entail multi-physics processes that operate at disparate scales, often posing formidable large-scale computing challenges.

DigiFarm is one of Norway's leading ag-tech startups, established in 2019 who's core focus is on developing deep neural network models in agriculture leveraging SatEO data.

Numerical weather prediction (NWP) plays a critical role for European societies to avoid weather-induced harm and improve benefits, e.g. in the agricultural sector or for renewable energies.

Accurate medium-range weather prediction is of critical importance for European societies to prevent weather-induced loss of life and economic damages.

The study will couple committee-based active learning with synthetic nanoreactor simulations that drive QD surfaces into reactive, high-uncertainty regimes and trigger on-the-fly DFT relabelling.