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Awarded Projects (315)
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Turbulence ultimately determines the energy confinement time of fusion devices (a very important figure of merit) and is one of the key unsolved physics problems on the path towards a commercial power plant.

Natural Language Processing (NLP) is increasingly important in our digital lives. In particular, Large language models (LLMs) such as GPT-4 and chatbots like ChatGPT are likely to profoundly impact society, affecting an estimated 80% of the workforce.

Protoplanetary discs are the birthplace of planetary systems that form around nascent stars. These discs are now observed with an exquisite resolution that allows us to probe the kinematics of the gas during planet formation.

The Event Horizon Telescope has recently taken the first direct images of supermassive objects in the center of the Milky Way, SgrA*, and in the center of galaxy M87, M87*.

We will investigate mechanisms of ion transport and in the unique bacterial K+-importing protein complex (KdpFABC), which unlike any other ion transporting protein, contains both a channel and a pump subunit.

Atomistic modeling can provide mechanistic insights and improved design principles, but it is limited by the complexity of modern alloys that involve up to a dozen carefully tuned components.

Brain imaging techniques, particularly magnetic resonance imaging (MRI), play a crucial role in understanding the neurocognitive phenotype of Down syndrome (DS) and its associated challenges.

The project tackles one of the fundamental open questions in cosmology: the nature of dark matter. The project aims to redefine the standards of the field by simulating three cosmological volumes in multiple scenarios: cold, warm and three self-interacting dark matter models.

The functional properties of materials are systematically and often dramatically affected by the presence of defects and disorder.

This project proposes a video tokenizer based on Variational Autoencoders (VAEs) to address these challenges, incorporating spatio-temporal attention mechanisms and transformer-based architectures to manage long-range spatio-temporal dependencies and reduce artifacts.