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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and
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research communities. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques
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the EU Research Framework Programme? Other EU programme Reference Number PID2023-147939NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Molecular modelling
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coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General
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of the proposal. This includes the complete modeling and simulation of the response of the detectors to gravitational waves of different sources, generating realistic sensitivity calculations and exploring
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coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General
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Researcher profile: Recognised Researcher (R2 - PhD holders or equivalent who are not yet fully independent) Number of vacancies: 1 Project: ERC Bilingual LENS Founding source: ERC Bilingual LENS Location