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Optogenetics uses light to control the activity of specific cells, and it has revolutionised neuroscience research. Genetically modified cells express light-sensitive proteins called opsins, which are activated when exposed to light of a specific wavelength.

This is project meant to support the Smart-TURB ERC AdG (2021-2026) on Machine Learning applications to Eulerian and Lagrangian Turbulence.

This is a key contribution of Lattice Field Theory to Particle Physics at the precision frontier.

The project proposes a high-statistics computation of lattice correlation functions starting from isospin-symmetric QCD and including the leading isospin-breaking effects.

The simulation results are expected to drive improvements of reduced-order models and establish a reproducible methodology for BBN predictions in a realistic strongly compressible context.

The project aims to push the studies of spectral and transport properties of the QGP.

Antarctic and Greenland ice sheets lose most of their mass by a few corridors of rapidly flowing ice.

Turbulence bounded by curved walls characterizes different applications of paramount importance for engineering applications: highly cambered airfoils, turbomachine blades and coolant channels among others.

At the so-called precision frontier, high-intensity experiments test the Standard Model (SM) of particle physics, searching for discrepancies with theoretical predictions that may reveal new physics.

The human ether-a-go-go (hERG) gene encodes the voltage-activated, potassium-selective channel that regulates the repolarisation phase in the cardiac action potential.